181 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" positions in Sweden
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in programming languages
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in programming languages or automated program
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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be