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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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catalysts. Particular attention will be given to investigating structure-function relationships during different stages of the CO₂-to-alcohol cascade process. TEM data will help clarify the spatial
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and Computer Engineering with specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E
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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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will aim to design solutions to reduce the handover and roaming procedure time, validate the resulting approaches using simulations firsthand, and then implement them on practical testbeds. You will be
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facilities, isolators, cell processing equipment). Job profile You hold a Master’s degree (preferably) in pharmacy, biomedical sciences or equivalent Strong interest in cell and gene therapy, biomanufacturing
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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also discovered key viral and host proteins involved in this viral immune evasion process. In the current PhD research track, we want to investigate the mechanisms underlying the impact of PRV on gap
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should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications