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Field
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Details Title Postdoctoral Fellow / Research Scientist (Ph.D.) in Human Neural Circuit Physiology School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position
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, execute, and troubleshoot experiments aligned with the lab’s research program, ensuring methodological rigor and reproducibility. Analyze, interpret, and present research findings Perform quantitative and
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, Computer Science, Applied Mathematics, or a field focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures
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motivated individual to join our team as a Research Manager for this cross-functional initiative to provide leadership and strategic direction in the development of high-value research program that harmonizes
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develop software for high-energy particle physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 10 days ago
funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Catégorie A – Research Scientist Fixed
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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 We are seeking a motivated and talented postdoctoral
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physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in research and development activities
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computational approaches to understand, design, and optimize bioactive molecules and chemical probes. Applicants should have demonstrated productivity within their area of expertise and the potential to build a