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Field
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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into an eco-epidemiological network modeling framework and optimization function. 2. Stakeholder Engagement & Focus Group Co-Facilitation (30%) ● Design and lead focus groups, expert elicitations, and workshops
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position is aimed for a researcher, in early stages
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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
to sponsored research projects with industry partners; develop innovative analytical and computational methods; publish findings in leading academic journals; mentor graduate students; support graduate-level
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis