70 master-"https:" "https:" "https:" "https:" "UCL" PhD positions at Technical University of Denmark
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English communication skills You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Applicable for all scholarships
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as part of the IML research group led by Professor Morten Nielsen in close collaboration with the IEDB leader team at La Jolla Institute for Immunology (LJI), San Diego, California. Your main focus
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primary responsibility will be to design and realize demonstrator devices for preclinical testing in the EMGUT project. These devices will target harvesting of energy, sensing, delivery, and/or sampling
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physics, integrated photonics, condensed matter physics, nanofabrication, and spectroscopy. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to
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have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in Materials Science and engineering or
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. The main task is to explore and implement novel efficient anonymous credential schemes which remain secure against quantum attackers. You should have: Master’s degree (or equivalent) in computer science or a
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adsorbate-induced nanoparticle morphologies with ENNP-based simulated TEM data for coherent interpretation. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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techniques is beneficial but not required. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment
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, with a strong emphasis on multi-agent systems, optimal control, and algorithmic market design. Your main tasks will include: Model AI-driven learning dynamics in electricity markets Analyze equilibria in