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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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sciences, spatial statistics and genetics. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse data Contributing to the drafting
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 hour ago
award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and
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research focus areas. The Research Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity driven research networks across RMIT and with
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Advance Net Zero with sustainable feedstock solutions for low-carbon fuels Lead
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(Japanese-based staff). Please note for the purposes of this program early career researchers are defined as academic staff who have completed their PhD within the last ten years. South Australian Applicants
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(Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research