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and physical principles of negative ion mode LC-MS/MS-based peptide analysis. The project combines method development and mechanistic exploration with downstream applications in proteome
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imaging, flow cytometry, and molecular assays to characterize cellular phenotypes. Perform in vivo studies in mouse models of obesity and metabolic disease The Loft Group Anne Loft is a recipient of a
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investigate new algorithmic principles that make learning agents adapt to non-stationary environments in an autonomous manner. The expected outcomes are new theoretical insights about the algorithmic roots
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practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will
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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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Programming Beyond the Circuit Model” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and
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involved in: Analysis of data from medium and low-cost sensors Analysis of data from cognitive performance assessments and health survey responses Conduction citizen science-based activities in the schools
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
vibrant, interdisciplinary research environment and work on projects centered around: Apply cutting-edge mass spectrometry–based proteomics to uncover dynamic protein changes and post-translational
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof