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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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inspired by notions of energy, leading to highly efficient, local learning rules. What are you going to do? As a PhD candidate, you will develop mathematical theory for learning in nonlinear and dynamic
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Vacancies PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Systems Key takeaways The rapid electrification and digitalisation
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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or Mathematics. Excellent English written and spoken communication skills. It is desirable that candidates possess expertise in some (but not all, or even most) of the following areas: Microbiology, Bacteriology
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12 Sep 2026 Job Information Organisation/Company Umeå universitet Department Umeå School of Business, Economics and Statistics, Umeå University Research Field Mathematics » Statistics Researcher
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23 Sep 2026 Job Information Organisation/Company Constructor Knowledge Labs gGmbH Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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EMBL International PhD Programme Would you like to contribute your creativity to an international team of scientists from various disciplines focusing on basic research in the area of molecular life
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The Department of Mathematics The Department of Mathematics strives for excellence in research. The department balances pure mathematical research with mathematical research motivated by
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 24 hours ago
]. The student will also look into applications in tabular and time-series predictions. Assignments : The PhD project aims at developing foundation models for performing in-context learning on high-dimensional