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Job Description A 3-year PhD position within ligand-observed NMR analysis of carbohydrate-active enzymes is available in the Enzymatic Synthesis Technology group at the Department of Biotechnology
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1 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Physics and DTU NanoLab Research Field Physics » Quantum mechanics Technology » Nanotechnology
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innovative technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a
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innovative technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a
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equivalent to a two-year master's degree. Your academic background needs to be relevant to the above-stated project objectives, e.g., civil engineering, mechanical engineering, physics, or applied mathematics
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22 Aug 2025 Job Information Organisation/Company Technical University of Denmark Department Department of Civil and Mechanical Engineering Research Field Engineering Researcher Profile First Stage
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26 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU management Research Field Engineering Economics Researcher Profile First Stage Researcher (R1
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
data science, bioinformatics, protein design, biochemistry, mass spectrometry, cell biology, molecular biology, genetic engineering, medicine or related fields. The successful candidate will join a
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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will join a vibrant, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities and qualifications Design and implement inhibitor libraries using generative AI