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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful
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University therefore encourages qualified candidates with disabilities, gaps in their CV, immigrant backgrounds or different life experience to apply. If applicants indicate they have disabilities or gaps in
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for the position. Applicants who do not yet hold a MSc degree, but expect to be awarded one in the near future are also welcome to apply. As the research topic is interdisciplinary, several different
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/1163119355/ Interested applicants should upload the following documents: CV Motivation statement (please indicate your earliest availability date) Grades from bachelor and master studies Different projects can
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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research consortium focused on exploring and leveraging non-canonical G-protein signaling pathways for the purpose of establishing new therapeutic approaches. You will use cell-based assays (bioluminescence
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students of the REUNATECH network. Development and validation of FE models and shaking table experiments for base isolators under different earthquake effects. Optimisation of basic isolation by refining
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation