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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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education and knowledge dissemination. Job description We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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or plasmid stabilization with different selection markers will be pursued. Responsibilities As a PhD candidate, you will contribute to increasing our knowledge and molecular tools for production of proteins
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Microscopy (SEM, AFM), Spectroscopy (e.g. FTIR, Raman), and antimicrobial assays, and/or other relevant methods for characterizing packaging materials and foods. Previous knowledge of LCA is also a plus
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To apply, please read the full job advertisement DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We
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research, educational activities, and innovation at a high international level within e.g. energy, catalysis, and materials. The overall aim is to contribute with new knowledge about basic scientific
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project, co-funded by the Innovation Fund Denmark and the Department of Management, Aarhus BSS, Aarhus University. Candidate profile We are seeking applicants with strong knowledge of data analytics and a
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to acquire greater knowledge about basic scientific problems and to conduct research oriented towards use in societies and companies. Technology for people DTU develops technology for people. With our
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joint projects Co-supervise BSc and MSc student projects and contribute to the teaching at our institute Present research results at international conferences and workshops Engage in knowledge transfer