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science, physics, maths, or related disciplines who are motivated to contribute to the future of clean energy. Eligibility Applicants should have a first or upper second class honours degree in
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven
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One of the essential networks for society is water distribution networks. The delivery of water to customers is affected through different threats to the system. These include failure of components
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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resilience One of the essential networks for society is water distribution networks. The delivery of water to the customers is affected through different threats to the system. These include: failure
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an integrated interdisciplinary PhD programme that consists of three main components: 1. An interdisciplinary research project that combines concepts and methods from different fields. 2. A substantial programme
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. The differences between who we are and what our experiences and ideas are make us stronger. In our mission to work with the best talent, we do all we can to ensure equal opportunities, ignoring aspects such as
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-time. Your qualifications You have graduated at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in
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the activity of different interneuron populations using voltage imaging. By opto- or chemogenetically altering this activity at the moment an action is selected, the candidate will determine how interneuron