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-world challenges. We encourage and support our postdocs to publish their research in renowned journals and conferences, and to engage in knowledge exchange with colleagues and external research and
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Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well: Strong expertise in algorithm development for neural networks. In-depth knowledge
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a good knowledge of statistical mechanics, good English communication skills and experience with all-atom or coarse-grained molecular simulations. The candidate should be comfortable with programming
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for the position. 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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on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research
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interdisciplinary teams towards a common goal. You are motivated by working in the intersection between applied science and the generation of new knowledge. In addition, you have: Good communication skills in written
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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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advantage, as is knowledge of genetic methods (e.g., SNP-based data analysis). Application deadline: 31 may 2025 at 23:59 hours local Danish time Please see the full call, including how to apply
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fundamental knowledge generation and the attainment of sustainable production systems via innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi
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SMARTFIELD project. We are looking for a candidate with extensive knowledge in social science, environmental management, agroecology, or a related field, who is committed to research in the science-policy