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Field
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systems and control theory, circuit theory, optimization, and machine learning, with the ultimate goal of advancing the mathematical foundations of physics-based learning. Your responsibilities include
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 4 days ago
Applicants should hold an MSc (or equivalent degree) with a strong background in physics, chemistry, mathematics or computer science, and have some knowledge of solid-state science, excellent English language
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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evaluation, but we are primarily looking for a candidate with a strong background in computer science, artificial intelligence, applied mathematics, applied physics, or a closely related field, and with a
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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green
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mathematics. You will undertake a single, ambitious research project: to begin the formalisation of the local Langlands correspondence for GL₂(F) in the Lean interactive theorem prover by leveraging AI agents
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh
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international environment. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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quantum channel, post-quantum mathematics, and traditional classical security, into a single, unified encryption key. Crucially, the system is expected to work with the infrastructure organisations already
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» Biomedical engineering Engineering » Process engineering Environmental science » Ecology Researcher Profile First Stage Researcher (R1) Application Deadline 21 Mar 2027 - 14:29 (UTC) Country Netherlands Type