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colleague? Apply now! Education Ph.D. in Computer Science, Data Science, Mechanical Engineering, Systems Engineering, Applied Mathematics, or a closely related discipline with a definitive focus on data
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description Munich Aerospace...
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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28th September 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in High-Frequency Wide-Bandgap Power Conversion Technologies Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific...
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I supervise a wide range of projects at the intersection of photonics and nanotechnology, investigating how we can efficiently control light on the nanoscale. Applications are in areas such as optoelectronics, green energy, and fundamental quantum optics. As a member of my group you will have...
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. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content PhD in Mathematics Our Graduate School is organised into the following sections: A - Algebra, Number
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academic backgrounds include: Operations research Computer science Artificial intelligence or machine learning Applied mathematics Engineering disciplines with strong quantitative and algorithmic content
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research