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is set to begin on July 1st, 2025, with flexibility regarding the start date. Profile We are looking for candidates with the following qualifications: A master’s degree preferably in Computer Science
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have a Bachelor’s or Master’s degree (any field of study is welcome - computer science is not a must-have) or can demonstrate equivalent knowledge and experience You are passionate about analyzing
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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. Profile You hold a Master's degree in a relevant field such as data science, computer science, physics, computational biology, or biomedical research. You are proficient in Python programming, with
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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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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-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