Sök lediga tjänster som cell- och molekylärbiologer m.fl. i Ydre kommun. Hitta din nästa utmaning och jämför löner.
Lönen för cell- och molekylärbiologer m.fl. i Sverige ligger i snitt på 48 100 kr per månad enligt SCB.
Vi har kraften från över 50 000 studenter och medarbetare. Studenter som ger framtidshopp. Medarbetare som varje dag bidrar till att Linköpings universitet tar sig an samtidens utmaningar. Vår värdegrund vilar på trovärdighet, tillit och trygghet. Genom att vara modiga, tänka fritt och göra nytt skapar vi tillsammans, med stora och små handlingar, en bättre framtid. Välkommen att söka jobb hos oss! Vi söker nu en doktorand inom medicinsk vetenskap, AI och bioinformatik. Dina arbetsuppgifter Projektet syftar till att utveckla AI-baserade foundation models för integrerad analys av single-cell- och multi-omics-data för att bättre förstå hur molekylära och cellulära processer samordnas mellan celler, vävnader och organsystem vid hälsa och sjukdom. Du kommer att ansvara för att utveckla och tillämpa avancerade metoder inom AI och bioinformatik på storskaliga single-cell- och multi-omics-data. Projektet kommer att fokusera på att integrera dessa data för att studera cellulär och vävnadsspecifik signalering, molekylär kommunikation och systemiska molekylära nätverk, samt hur dessa processer förändras mellan fysiologiska tillstånd och sjukdomstillstånd. Genom detta arbete kommer du att utveckla prediktiva och biologiskt tolkbara modeller som kopplar samman molekylära mönster på flera nivåer av människans biologi. Projektet ligger i gränslandet mellan artificiell intelligens, beräkningsbiologi, systemmedicin och precisionshälsa och innebär nära samarbete med forskare inom både beräkningsvetenskapliga och biomedicinska områden. Utöver projektets huvudsakliga inriktning kommer du att få möjlighet att utveckla relaterade forskningsfrågor utifrån dina egna intressen och nya resultat som framkommer under projektets gång. Du kommer därigenom att utveckla bred kompetens inom AI och multi-omics-analys samt växa som självständig forskare inför en framtida karriär inom akademi, bioteknik eller datadriven precisionsmedicin. Som doktorand ägnar du dig åt din forskarutbildning och forskningsprojekt där du ingår. I ditt arbete kan även ingå att undervisa eller att delta i andra institutionsuppdrag, upp till 20 procent av heltid. Dina kvalifikationer Du har avlagt examen på avancerad nivå inom AI, bioinformatik, systembiologi eller ett närliggande område, eller fullgjort kursfordringar om minst 240 högskolepoäng, varav minst 60 högskolepoäng på avancerad nivå. Alternativt har du på annat sätt förvärvat i huvudsak motsvarande kunskaper. Därutöver krävs: God programmeringsförmåga och starka kvantitativa färdigheter, särskilt i Python och/eller R. Erfarenhet av deep learning, maskininlärning eller analys av storskaliga omics-data. Hög grad av motivation och självständighet, god problemlösningsförmåga samt förmåga att samarbeta i en tvärvetenskaplig forskningsmiljö. Förmåga att kommunicera obehindrat på engelska, både muntligt och skriftligt. Följande kvalifikationer är inte ett krav men är särskilt meriterande: Erfarenhet av foundation models, transformers, generativa modeller eller representation learning. Erfarenhet av analys av storskaliga single-cell-omics-data. Erfarenhet av integrativ analys av multi-omics-data, exempelvis genomik, proteomik eller metabolomik. Erfarenhet av relevanta ramverk för maskininlärning, exempelvis PyTorch, samt högpresterande beräkningsmiljöer (HPC). Kunskap inom molekylär- och cellbiologi, systembiologi eller precisionsmedicin. Till ansökan ska även bifogas en forskningsplan där du beskriver hur din bakgrund, dina färdigheter och dina forskningsintressen gör dig lämpad för projektet om AI foundation models för integrerad single-cell- och multi-omics-analys. Beskriv också i forskningsplanen kortfattat en forskningsfråga eller forskningsinriktning inom AI, single-cell-biologi, multi-omics eller systemmedicin som du skulle vara intresserad av att utforska under din doktorandutbildning. Din arbetsplats Du kommer att vara anställd i forskargruppen som leds av Universitetslektor https://liu.se/medarbetare/wenzh16, fellow inom det svenska nationella programmet för https://www.scilifelab.se/data-driven. Forskargruppen är placerad vid https://liu.se/organisation/liu/bkv/cnb, https://liu.se/organisation/liu/bkv, Linköpings universitet. Forskargruppen fokuserar på integrativ multi-omics, samspelet mellan genetisk variation och mänskliga fenotyper samt utveckling av AI-drivna metoder för att bättre förstå människans biologi och sjukdomar och omsätta dessa kunskaper i datadrivna strategier för precisionshälsa. Om anställningen I samband med att du antas till forskarutbildningen handläggs din anställning som doktorand. Läs mer om respektive fakultets forskarutbildning https://liu.se/forskning/forskarutbildning Anställningen är tidsbegränsad till normalt fyra år heltid. Förlängning av anställning upp till fem år sker utifrån grad av undervisnings- och institutionsuppdrag. Vid särskilda skäl kan ytterligare förlängning ske. Du anställs till en början på ett år, och därefter förnyas anställningen med högst två år i taget, utifrån uppnådd studieplan. Tillträde enligt överenskommelse. Lön och förmåner Doktorandlönen regleras utifrån en lokalt avtalad lönestege. Läs mer om förmåner för anställda https://liu.se/jobba-pa-liu/formaner. Fackliga kontaktpersoner Information om fackliga kontaktpersoner, se https://liu.se/jobba-pa-liu/hjalp-for-sokande. Ansökan Du söker denna anställning genom att klicka på knappen "Ansök" nedan. Din ansökan ska vara Linköpings universitet tillhanda senast 261030. Ansökan som inkommer efter sista ansökningsdag beaktas inte. Vi välkomnar sökande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar vår verksamhet. För oss är det självklart att värna om allas lika värde, rättigheter och möjligheter. Läs om vårt arbete med https://liu.se/artikel/lika-villkor/. Välkommen med din ansökan! Linköpings universitet har upphandlade avtal och undanber oss direktkontakt från bemannings- och rekryteringsföretag samt försäljare av platsannonser.
Rikssnittet för cell- och molekylärbiologer m.fl. är 48 100 kr per månad enligt SCB. Lokala löner i Östergötland kan variera beroende på arbetsgivare och erfarenhet.
Vi listar för närvarande 3 aktiva annonser för cell- och molekylärbiologer m.fl. i Ydre och dess närregion. Nya jobb tillkommer dagligen.
Inom Östergötland kan du även söka tjänster i närliggande orter som Boxholm, Finspång, Kinda.
More information about the position: https://liu.se/en/work-at-liu/vacancies/29819 Work assignments The project focuses on electro-enzyme coupled catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration of electrochemical processes with enzymatic catalysis for the selective and sustainable synthesis of value-added chemicals, including the conversion and upgrading of CO2, biomass-derived molecules, and other small-molecule substrates. Particular emphasis will be placed on efficient coupling between electrocatalytic and enzymatic reaction processes. You will take a leading role in developing research activities that connect electrocatalyst and biocatalyst design, electrochemical and enzymatic reaction engineering, mechanistic investigation, and reactor-level performance optimization. The work may include electrocatalyst and enzyme immobilization, electrochemical cofactor regeneration, enzyme-electrode interface engineering, electrochemical and enzymatic testing, product analysis, spectroscopic characterization, mechanistic studies, and optimization of electrochemical reactor and electrolyzer configurations. More information: https://liu.se/en/work-at-liu/vacancies/29819 Qualifications To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration. We are looking for someone with a doctoral degree in chemistry, materials science, biotechnology, chemical engineering, or another relevant field. You should have a strong research background in electrochemistry, electrocatalysis, biocatalysis, bio-electrocatalysis, materials chemistry, or a closely related area. The position requires good communication skills in English, both written and spoken, as well as the ability to conduct independent and collaborative research and publish scientific results. We also think you have experience and knowledge in one or more of the following areas: Bio-electrocatalysis, CO2 conversion, biomass upgrading, nitrogen reduction, or related electrochemical and enzymatic transformations reactions catalyst synthesis, materials characterization, interface science electrolyzer, electro-enzyme coupled reactor design, electrochemical system optimization electrochemical and enzymatic reaction mechanism investigation, as well as operando spectroscopy, such as Raman, FTIR, XAS, or other related techniques Documented experience in operando spectroscopy, advanced electrochemical measurements, enzyme-electrode interface engineering, electrolyzer or reaction-cell design, or mechanistic investigation of catalytic and biocatalytic reactions is particularly meritorious. Experience in supervising students, developing independent research ideas, or working in international collaborations is also considered advantageous. You are scientifically curious, creative, and self-motivated. You have good problem-solving skills, a careful and responsible approach to experimental work, and the ability to work both independently and collaboratively in an interdisciplinary research environment. You are expected to take initiative, contribute to the development of new research directions, and actively participate in the scientific activities of the research group. The workplace https://liu.se/en/organisation/liu/ifm/mdesign, https://liu.se/en/organisation/liu/ifm Wallenberg Initiative Materials Science for Sustainability This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and encompasses major efforts at Sweden’s foremost universities over the course of 12 years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org/ The employment This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time. Starting date by agreement. Salary and employment benefits More information at: https://liu.se/en/work-at-liu/vacancies/29819 Union representatives https://liu.se/en/work-at-liu/hjalp%20for%20sokande. Application procedure Apply for the position by clicking the “Apply” button. Your application must be received no later than 24 September 2026. Applications and documents received after the date above will not be considered. Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application. Please note that printed publications will not be returned. They will be archived at Linköping University. In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work assignments The doctoral student will computationally understand and optimize interfaces in hybrid (organic-inorganic) materials for sustainable energy devices. Material interfaces are often the limiting factor for device performance and stability, since they must sustain both electronic and ionic transport simultaneously. This is the case, for example, at electrode/electrolyte interfaces in organic batteries, where ion transport governs charging and discharging, and at interfaces in solar cells, where ion migration through structural defects drives degradation and can enhance recombination losses. Resolving how this coupling between electronic and ionic transport depends on atomistic interface structure, and how it evolves under operating conditions, is difficult to access experimentally and lies beyond the reach of standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics, as well as the development of machine-learning potentials and Hamiltonians for fast ion transport and electronic structure predictions, respectively. Your specific tasks are: Develop machine learning potentials and Hamiltonian learning approaches for organic-inorganic interfaces, such as organic battery electrode/electrolyte interfaces and defect-containing solar cell interfaces Perform molecular dynamics simulations of interfacial ion transport and understand the evolution of the electronic structure under realistic operating conditions Contribute to the design of stable material interfaces for efficient charge and ion transport with focus on organic batteries and solar cells Collaborate with experimental and theoretical groups within LOE and its partners As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in Chemistry, (Applied) Physics, Materials Science, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in a relevant area. Alternatively, you have gained essentially corresponding knowledge in another way. We are looking for candidates with a strong interest in interdisciplinary research at the interface of chemistry, physics, materials, and energy technologies. Experience in one or more of the following areas is considered an advantage: fine-tuning machine learning potentials, Hamiltonian learning, molecular dynamics simulations of materials. The successful candidate has strong problem-solving skills, is able to work effectively in a multidisciplinary and international team and demonstrates excellent communication abilities. Great emphasis will be placed on personal qualities and suitability. Your workplace Join us at the Laboratory of Organic Electronics (LOE) at Linköping University, a world-renowned center for groundbreaking research in bioelectronics, energy devices, printed electronics, and nanooptics using organic materials. Our innovative work focuses on the dynamic coupling of ion and electron movement. At LOE, you’ll be part of a vibrant community of over 150 researchers, including professors, senior and junior scientists, and fellow PhD students. Our collaborative environment is multidisciplinary, fostering creativity and innovation. (https://liu.se/loe) You will work within the newly established Computational Materials Science group of Assistant Professor Waldemar Kaiser, part of the Theory & Modelling unit (led by Prof. Igor Zozoulenko). Our focus is on: Machine-learning accelerated materials simulations ML-accelerated simulation of ion and charge carrier transport in energy materials Multiscale modeling of transport in materials The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available https://liu.se/en/research/doctoral-studies The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances. This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and encompasses major efforts at Sweden’s foremost universities over the course of 12 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Starting date Starting date during Fall 2026. Salary and employment benefits The salary of PhD students is determined according to a locally negotiated salary progression. The starting salary for our PhD students is SEK 35,300 per month. This level will be increased during this year's annual salary review in October. As a PhD student, your salary also increases after completing 30% and 60% of your doctoral studies. More information about employment benefits at Linköping University is available https://liu.se/en/work-at-liu/employee-benefits. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than September 25, 2026. Applications and documents received after the date above will not be considered.
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