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(or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Assoc. Prof. Leticia Hosta
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Job Description If you are passionate about marine technology, data analytics, and ecosystem research, we have an opportunity for you! DTU Aqua invites applications for a PhD position focused on
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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can be defined as the westernmost part of the well-studied Frisian-Drenthe Plateau (FDP). While the FDB at large is a region of which the prehistoric occupation history is well known, most information
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
also supervised by Prof. Dr. Jana Sillmann, who is co-leading the Research Unit for Sustainability and Climate Risks (FNK). This Research Unit is devoted to inter- and transdisciplinary research and
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional