57 postdoctoral-biology-computational PhD positions at Technical University of Denmark in Denmark
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more
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the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main focus will be
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on the development of regulatory tools to improve CRISPR-Cas editing for neurological diseases. You will work with a wide range of methods, including molecular biology, culture and differentiation of human iPSCs
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natural sciences, in particular, bioinformatics, microbial ecology or molecular biology (cloning). We expect you to have experience in designing and conducting laboratory experiments and to have good
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. Massimo De Vittorio of the IDUN section, and you will interact with several members of IDUN working in different disciplines, such as biology, microfabrication, pharmaceutical science and polymer science
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Job Description Are you passionate about chemical theory and computation? Are you interested in the real-time (atto- to picosecond) dynamic changes in molecules when they undergo physical and
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, and validate robust computational workflows. You will co-develop well-documented, shareable codebases and tools following modern software engineering practices. You will collaborate closely with
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient