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of vision, embedded electronics, signal and image processing for the joint development of imaging systems and associated methods. Particular emphasis is put on the design of unconventional and multimodal
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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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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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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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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. 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