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processing tasks, including working knowledge of common computational biology libraries (e.g., Pandas, NumPy, Biopython). Experience in constraint-based metabolic modelling (e.g., cobrapy, memote). Experience
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Job Description The Department of Health Technology at the Technical University of Denmark (DTU Health Tech) invites applications for a PhD fellowship in the field of RNA therapeutics and
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, and the US in both engineering and atmospheric science Access to a state-of-the-art, high performance computing cluster You would work as part of a dynamic team working to enable truly sustainable
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, and Computational Social Science. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your primary responsibilities are: Become familiar
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for Digital Building Technologies, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). The research project will be carried out in collaboration with a team of DTU researchers
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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field, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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engineering, in an exciting combination of academic and industrial environments. Responsibilities and qualifications Within the scientific area, the researcher is expected to advance the Department's activities