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transfer learning, data-driven calibration, or case-based reasoning, to improve decision-making, reduce uncertainty, and justify steering recommendations? This PhD research together with the DigiWells team
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, or other neurodegenerative disorders. Experience with machine learning for large datasets. Experience with computational methods and workflows for handling large-scale data. Personal skills Highly organized
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data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include: Developing minimal active-matter
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the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in statistics. We are looking for a motivated candidate, with a deep interest in mathematical statistics, with a
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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant
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Science About the project This PhD project integrates pharmacoepidemiology, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies
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refractive-index imaging of complex samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and