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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
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21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department Department of Mathematics and Computer Science Research Field Computer science Researcher Profile First
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Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
leader in the field of membrane biology and glycosciences. We are composed of several research groups and host about 20 postdocs and 20 PhD students, in addition to master’s students and guest researchers
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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Lab at DTU Bioengineering — a vibrant, multidisciplinary team working at the interface of proteomics, computational biology, and translational research. Responsibilities and qualifications You must be
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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characterization of glycoside hydrolases, and a postdoc working on computational modelling of the same enzymes. The PhD focuses on ligand-observed NMR analyses and other relevant methods to provide insight
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Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design with in vitro