96 proof-checking-postdoc-computer-science-logic PhD positions at Technical University of Denmark in Denmark
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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field, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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to apply. As 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
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checks may be conducted on qualified candidates for the position. DTU Sustain - Department of Environmental and Resource Engineering - is one of the largest university departments specializing in
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are encouraged to apply. As 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
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proof-of-principle photonic topological designs, and identify opportunities for demonstrations with experimental collaborators at the department and internationally. The program aims to advance
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for contributing to moving the frontiers of science. Experience with thin film material science, electrochemistry and/or magnetic imaging techniques. Extensive hands-on experience with NV magnetometry, scanning
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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms