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an opportunity to contribute to impactful research and analysis on key topics in regional development and planning. For these positions, we are particularly interested in candidates with expertise and interest in
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. mathematical modelling of biological systems. More specifically, you will work with mathematical modelling of metabolic networks, using theory from metabolic flux analysis of mass spectrometry data. You will
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backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
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are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
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] Subject Areas: Machine Learning Complex Systems Theoretical Physics / Statistical physics Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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to lisa.dobrosch@liu.se Application procedure The following documents (in pdf-format) must be submitted when applying for a scholarship Cover letter, max 1 page, describing your background, research interests and