11 phd-position-in-data-modeling Postdoctoral positions at Chalmers University of Technology
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infection models Microbiology assays, protein purification and biochemical assays MS-proteomics analyses and advanced microscopy Supervise master’s and/or PhD students to a certain extent Possibility to
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The candidate will conduct research on the interaction between policy and technology change. Participate in supervising master’s and/or PhD students. The position can include teaching up to 20%. We are recruiting
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machine learning and AI for clinical decision support. Develop, train, and validate predictive and explainable models using large-scale clinical registry data. Work closely with clinical collaborators
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integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive, interpretable, and clinically actionable models
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to benchmark results, validate models against fabricated amplifier designs, and - very importantly - guide technology development Publish results in leading journals and conferences, and supervise PhD students
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beyond traditional models and bring research closer to real-world clinical applications. About the research project We are offering a 2 year postdoctoral position to an ambitious researcher who is
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13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised
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25 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Country Sweden
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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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awarded no more than three years prior to the application deadline. To be successful in this position, you: have a strong, quantitative background, ideally hands on with modern generative models have proven