234 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" positions at Technical University of Denmark
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Job Description The section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), is seeking an outstanding and highly motivated candidate for a PhD
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programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical
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funded project under the Novo Nordisk Foundation Exploratory Interdisciplinary Synergy programme. The project focuses on the design and experimental validation of de novo proteins that target sperm and
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DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position
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the design questions using a computational approach to simulate the performance of thermoelectric generators, and subsequently use the model to dimension and design the thermoelectric elements for the heat
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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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level equivalent to a two-year master's degree in one of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate Professor
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
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Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies to develop a