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education and knowledge dissemination. Job description We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
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-oriented integration of these will be improved and promoted using up-to-date methods and technology. This important integrative approach at the system level is embedded in the graduate school GAUSS and in
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering as well as interdisciplinary fields, such as artificial intelligence, pharmacy and evolutionary life sciences
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
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Preparing instructors to use AI tools critically, effectively, and ethically is one of the most urgent challenges in education today. As AI becomes more integrated into classrooms, there is a
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership