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) Application Deadline 9 Mar 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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experimental collaborators to connect computational innovations to biological insight, with the goal of producing high-impact publications in computational neuroscience and AI. Candidate We are seeking
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
& PEWER_Level B_Research Fellow_SOCO_CSS_2026.pdf Opportunity to work on a high-impact Defence-funded research project under the ASCA Emerging and Disruptive Technologies program. Develop cutting-edge AI planning
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Application Deadline 28 Jan 2026 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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Position Summary CASC and the Africana Studies Program at Indiana University Indianapolis invite applications for a Mellon Foundation–funded Postdoctoral Fellowship linked to the newly established Black
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the opportunity Conduct high‑impact research to support an externally funded, world‑class research program. Contribute to research training and teaching, with a strong focus on developing student skills
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the planning and early implementation of a doctoral program in advanced soft-goods and textile systems engineering. The Fellow works collaboratively with faculty across the College of Fine Arts, Davis
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, known for our welcoming and supportive work environment, commitment to professional growth, and outstanding benefits. UNL isn't just a workplace, it's a place to build your career and make a real impact
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential