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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) in the Division of Science and Mathematics, New York
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Engineering » Other Mathematics » Applied mathematics Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 15 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract
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Previous Job Job Title Post-Doctoral Associate - Department of Neuroscience Next Job Apply for Job Job ID 374777 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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) optimization theory, numerical analysis, and applied mathematics. Our Research Interests: The AI + Quantum Group focuses on the frontier of AI + Quantum—the deep integration of artificial intelligence with
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interdisciplinary project. In this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the
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in higher adelic analysis and geometry, applications of algebraic K-theory in arithmetic geometry, in anabelian geometry and IUT, in Diophantine geometry, in applications of modern mathematics to deep
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-time physics: String theory and Quantum field theory, Astrophysical relativity; Mathematics: Differential geometry, Mathematical physics, Dynamical systems, Data assimilation, Monsoon dynamics, Analysis
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excellent troubleshooter, with rigorous mathematical and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects