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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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The PhD will form part of a broader interdisciplinary research programme in mobile health and AI, with applications in areas such as mental well-being, fall prevention, stroke rehabilitation, and
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related projects (open source services evaluation, server maintenance, workshops organization, …) Profile Higher education in computer science or equivalent Very good expertise in cryptography: elliptic
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integration across several storylines (Financial stability and supply chains; Heat and health; Climate tipping points and abrupt changes). In this role, you will be a natural science and inter
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commitments Profile We are looking for a proactive, highly motivated and well-organised person, studying for an MSc (or equivalent Master's degree) in a quantitative discipline (such as engineering, informatics
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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experimental challenges Applicants should hold, or be close to obtaining, a Master’s degree in physics, electrical engineering, photonics, materials science, or a related field The position will involve
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sciCORE is the center of competence for scientific computing at the University of Basel, the oldest university in Switzerland and consistently ranked among the best universities in the world
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combine quantum computing and AI to achieve a measurable, real-world advantage? Profile A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning