34 postdoc-computational-physics-"Multiple" PhD positions at Ghent University in Belgium
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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to understand the roadblocks towards electrically pumped lasing. Job profile Job profile You hold a Masters degree in Physics, Applied Physics, Photonics, Physical Chemistry or equivalent You are a motivated
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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of assays to characterise ATMPs, including potency, identity, purity, sterility (ELISA, qPCR, flow cytometry, HPLC-based analytics) Process development and technology transfer to GMP Development, optimisation
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(or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, or a related field
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must have (or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, Master of
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policy choices on the overall carbon emissions of the stock. The aim of the research is to obtain a PhD diploma. You will be part of the UGent Building Physics research group (Faculty of Engineering and
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Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation"). As the field of causal inference shifts toward population-level intervention effects, there is...