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2027 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 2021/42/E/NZ1/00190 Is the Job related to staff position within a Research Infrastructure? No Offer
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that favour subsequent copper-induced embrittlement. Team Dey within the Computational Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next
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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and
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turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
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to join an NIH-funded research program investigating the cortical cellular and circuit mechanisms underlying hearing difficulties in noisy environments following noise-induced hearing loss. Our research
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education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Quanteca team at Institut Néel is looking for a
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. Experience with uncertainty quantification, Bayesian inference, inverse modelling, parameter estimation, or model calibration. Experience with high-performance computing, surrogate modelling, reduced-order
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(R3) Application Deadline 30 Jul 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU