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Field
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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employment decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working
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manipulation Expertise in R and foundations of statistics Excellent communication skills and motivation to work collaboratively Ability to work independently and manage multiple projects in parallel Proficiency
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. Demonstrated experience in computational methods, particularly in deep learning and computer vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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operando XPS and XAS across four instruments and numerous sample environments. The group consists of approximately 10 members including scientists, engineers and postdocs who are actively driving multiple
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases
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Researcher (R1) Application Deadline 24 Feb 2026 - 22:59 (UTC) 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
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-form empirical research with large datasets. This includes strong programming skills in Python and experience with at least one additional language used for structural estimation or numerical computing
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description of the work duties: To be responsible for research on methods to protect distributed AI systems, where sensitive data is collected and processed across multiple platforms. To independently conduct