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Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want
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Job Description Are you driven by the potential of AI in enzyme engineering? Do you want to design novel enzymes from scratch using cutting-edge generative models and validate their function in
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talented and ambitious PhD student to join our Hospital-at-Home (HaH) project. The Department of Technology, Management, and Economics at Technical University of Denmark (DTU Management) invites applications
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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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 Are you passionate about sustainable solutions and advanced biotechnology? Do you thrive at the intersection of enzyme technology, protein science, and cutting-edge analytics? We’re
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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