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computational methods Coding abilities in at least one language Excellent proficiency in English as working language Good soft skills for independent work and team-work A keen interest in molecular modelling, in
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complex and interconnected infrastructure systems are, is required if actions are to be taken to improve their resilience. This in turn requires the ability to model these complex systems and how they will
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of AI and computer science. At INSAIT, you will benefit from: World-class research opportunities in areas such as computer vision, foundational models, safe and secure AI, robotics, quantum computing
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) to develop an accurate, stochastic multibody simulation model. This model dynamically updates key parameters to predict effective braking and acceleration capabilities, complementing existing organizational
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in teaching. Profile Doctoral degree in biology, computational biology, applied mathematics, physics or equivalent Proven track record in infectious disease modelling, quantitative biology or related
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models. This simulation-as-a-service middleware architecture developed by the Digital Twin Lab is currently powering applications such as the Digital Urban Climate Twin. More specifically, you will be
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comprises a multi-disciplinary team of data and computer scientists and experts in several domains, with offices in Zürich, Lausanne, and Villigen. MeteoSwiss, the Federal office for Meteorology and
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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efficiency or reducing embodied carbon. We invite candidates to propose research projects that focus on developing innovative methods, digital tools and advanced computational models - leveraging AI, machine
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approach is integrated into existing flood forecasting models and tested for various catchments, including regions in Lower Saxony. HiGrav has significant societal benefits, as it enhances the accuracy