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, simplicial complexes, manifold theory, fiber bundles, curvature). Familiarity with topological data analysis—persistent homology, filtrations, stability theorems—is particularly valued. Extensive experience
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AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
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22 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Biological sciences » Biology Biological sciences » Laboratory animal science
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synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads
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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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‑order elements are often used for plasma simulation, but they remain insufficient to handle the complexity of magnetic‑field anisotropy without relying on field‑aligned meshes. Our objective is therefore
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
3 Apr 2026 Job Information Organisation/Company CNRS Department Génomique Métabolique Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering Researcher Profile
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biological systems capable of autonomously performing useful tasks and elucidating design principles for engineering complex cellular and tissue phenotypes; design, build, and test mammalian synthetic gene
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equations (SDEs) are widely used to model time-evolving phenomena in finance, biology, and social dynamics, the underlying data is often highly sensitive. This project tackles the intersection of complex