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variable and climate-sensitive ecosystems, which poses great challenges for their mapping. You will be part of a research project aiming to unravel the complex interactions within peatland ecosystems using
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variable and climate-sensitive ecosystems, which poses great challenges for their mapping. You will be part of a research project aiming to unravel the complex interactions within peatland ecosystems using
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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characterization (e.g. NMR), biofilm extracellular polymeric substances, biophysics, glycoconjugates, complex assembly, or lectins, is an advantage. Your profile Applicants should hold a PhD in glycobiology
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational
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complex real-time control challenges under safety constraints. The Postdoccandidate will be responsible to: Conduct literature and technology reviews focusing on real-time embedded control and functional
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activation or suppression in specific cells. It is invaluable for understanding complex biological processes and disease mechanisms, making it an essential tool for researchers in various fields. In