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Field
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• Weather satellite imagery • Radar observations • Lightning detection networks • Surface sensor observations (e.g., rainfall and wind) The successful candidates will
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project leadership, grants or awards; Experience in collaborations, including with industry or engineering of instrumentation projects; Experience with advanced computing platforms, systems or techniques
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Applications are invited for an ambitious Research Fellow to work at the University of Southampton and contribute to a nationally-leading research programme funded by the National Institute
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year plus benefits. Postdoctoral Fellow Position in AI-assisted Clinical Informatics and Federated Analysis in Gynecologic Cancers At UBC, we believe that attracting and sustaining a diverse workforce is
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Postdoc Positions Application Deadline 23 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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across the project, with a particular focus on Work Package 3, which explores how social networks and schooling shape individual outlooks. This work will involve analysing large-scale social network data
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support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research. Training
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
collaboration agreement between ANU and the ACT Government addressing wellbeing in the ACT. This program of research is broadly focused on enabling evidence-based policy decision-making in the ACT, particularly
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with academic and industry partners, alongside opportunities for research visits and collaboration in Scotland and elsewhere within a wider international network. The candidate will join a growing
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and