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. The platform blends large language and vision models with symbolic math and statistical tools and agent-based human-in-the-loop workflow management to drive: course-specific chatbots, automatic practice-problem
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, or related disciplines, and bring experience in several of the following areas: Peptide synthesis Mammalian cell culture Protein biochemistry Mass spectrometry Bioinformatics and programming A
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle
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-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Workplace Workplace We offer Access to cutting-edge
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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project teams and meet with everyone at eye level. The individuals we work with are from a diverse range of backgrounds and study disciplines, which is why we communicate in English. As the projects we
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University