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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
of Asia and the Pacific. We strongly encourage applications from these groups. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on
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-iu-chemistry-harnesses-advanced-computing-capabilities Our facilities used in theory are state of the art, including our Top 300 computer cluster Big Red 200, in addition to other clusters with
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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in religion to begin as soon as July 1, 2025. The Fellow will partner with President Wendy Cadge and research collaborators nationally on a large national project about the changing spiritual
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February 2025) that has mapped emotional hotspots in cities using spatial analysis of social media data. Our next effort aims to incorporate explainable AI (XAI) to interpret and explain spatial patterns
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opportunity to contribute to globally impactful research. About you Doctoral Qualification in Public Health or a relevant health discipline. Project Management Experience in large-scale research across
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Posting Details Position Information Title Advanced Pharmacy Practice Fellowship Campus Stockton Department Pharmacy Practice Posting Number F00923 Full or Part Time Full Time Open Date 08/01/2025
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. The NOMIS-ISTA Fellowship Program provides postdocs with the freedom to work on big unanswered questions and high risk research at the intersection of two or more scientific disciplines. ISTA offers
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based