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aim of this programme is to facilitate and strengthen collaboration with academic researchers in scientific fields that are priorities for France and Canada, as defined at the first Joint Committee
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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part in the faculty’s approved PhD program, and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful
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annually. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE
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the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing to the translation of research
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available in the further tabs (e.g. “Application requirements”). Programme Description The grant is intended to support highly qualified scientists and scholars of all disciplines from developing and
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Brown University, Institute for Computational and Experimental Research in Mathematics Position ID: ICERM-SPRING27 [#27092] Position Title: Position Type: Postdoctoral Position Location: Providence
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a