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for life sciences. • Experience with parallel computing. • Familiarity with scientific machine learning approaches (e.g., physics-informed neural networks, neural ODEs, operator learning) and their
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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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, Computer Science, Communications Engineering, or a closely related field, with a strong research record in wireless communications, networking, or optimization. Publications in high-quality journals
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The University of Helsinki Organismal and Evolutionary Biology Research Programme and the research group of Dr. Cezary Waszczak are seeking to hire a highly motivated Postdoctoral Researcher
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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observational/computational time-domain astrophysics, including supernovae, gravitational-wave events, fast radio bursts, and tidal disruption events, to work with Dr. Daichi Hiramatsu in the Department
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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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Researcher (R3) Country United Arab Emirates Application Deadline 6 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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, consolidate and extend ongoing research, and establish a schools health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme
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physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC center fully integrated into the LIGO/Virgo distributed computing network. IFAE is in a