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for you to kick-start your professional development in this exciting area providing new knowledge for the green energy transition. You will be among meteorologist working on understanding various
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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two of the following is required): Having experience with both experimental and numerical research A good knowledge of (bio)geochemistry or geomicrobiology Knowledge of the fundamentals of reactive flow
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responsibility. The JRC provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society. JRC’s Collaborative Doctoral Partnerships (CDP) is an initiative of the JRC
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whether techniques from AI and data science can be used to organize feasible solutions and extract knowledge. In particular, the explainability of proposed solutions should be investigated. You will join a
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and
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. The PhD Scholarship will be carried out at the Section for Freshwater Fisheries Ecology at DTU Aqua, which aims to develop aquatic knowledge and tools for sustainable aquatic management, including
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for highly motivated and skilled candidates for PhD positions at DTU Physics. We invite you to join our international leading research environment where we encourage collaboration and knowledge-sharing
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against the following criteria: Documented research experience in the field of quantification and stability of vitamins in foods Knowledge within nutrition, and experience with food processing In-depth