53 data-science-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Sweden
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4 Jul 2026 Job Information Organisation/Company University of Skövde Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Application Deadline 31 Jul
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at the Division of Biomedical Engineering Department of Materials Science and Engineering, Uppsala University Full-time temporary position for two years starting in September 2026, or as agreed upon
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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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
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addition to the requirements described in the work description, and eligibility requirements, the following degrees, competencies, and experiences are considered meriting: PhD in Software Engineering, Information Systems
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; rather, they will be developed in dialogue between teachers and researchers based on the needs and interests of the schools. For more information ULF at Chalmers see: https://www.chalmers.se/institutioner
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are united in our efforts to understand, explain and improve our world and the human condition. The Division of Food and Pharma conducts research both within food science and pharmaceutical technology
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous