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11 Jan 2026 - 12:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
& PEWER Academic Level B Research Fellow (Computer Science) Engage with world-class computing infrastructure and work in partnership with the Australian government Develop sophisticated AI approaches
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management, entrepreneurship, and management; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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pursuing a graduate program (Ph.D. / JD) in the near future. The research fellow will be part of a vibrant community of scholars at Stanford Law School, which includes over a dozen predocs working with other
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, calibration strategies, and data analysis for semi-volatile compounds. The participant will contribute to a collaborative research program focused on understanding the dynamics of off-flavors in salmonid
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Medical - Clinical Internal Number: A-175743-11 General Description Our fellowship offers a unique occupational therapy approach to address the complex needs of individuals with acquired brain injuries (ABI
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basic science with biotech applications and combines rich functional assays with cutting-edge computational biology. Our method relies on aptamer-based sensors to recognise each specific metabolite target
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use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators
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are seeking a Research Fellow in the fields of Scientific Computing for interdisciplinary applications, to contribute to a project focused on developing and analyzing efficient computational methods for complex