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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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bionic limbs in health). This requires comprehensive integration of many data sources coming from the user, robot, and environment. This challenge can be addressed only using advanced AI. This lab will
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mass spectrometry-based proteomics or degradomics. Strong analytical skills and the ability to work effectively in a collaborative
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
capital facility maintenance operations. The virtual education and training environment incorporates Digital Twin Construction project data, multimodal and augmented tools for realistic haptic control and
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22 Aug 2025 Job Information Organisation/Company Roskilde University Department Department of Science and Environment Research Field Chemistry » Biochemistry Technology » Biotechnology Biological
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27 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering Research Field Engineering » Mechanical engineering Researcher
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
2 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering Research Field Engineering » Civil engineering Engineering
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success