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obtained by holding a position as a postdoc for at least three years. You have experience in various international projects with different stakeholders. As an ideal candidate, you should also: Have a strong
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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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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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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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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
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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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, or predictive modeling—based on real experimental data. You will work closely with engineers, technicians, and the postdoc to build and refine data pipelines and interfaces. As part of your research training, you
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties