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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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funded programme - Improving Care for children with life-limiting Conditions: developing, adapting, impLementing and Evaluating interventions (ICICLE). These three-year PhD Training Fellowship awards will
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Fixed term for 12 months Interview date: To be confirmed Are you an innovative problem solver looking for your next challenge? Are you interested in supporting the establishment of a worldclass excellent impactful multi-country research project? The University of Bradford is hosting an...
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern
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. Apply for this job See advertisement Job description Position as PhD Research Fellow in Data Quality and Integration in Circular Economy is available at the Department of Informatics, University of Oslo
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Job Offer from May 12, 2025 The Department of Coevolution of Land Use and Urbanization, Max Planck Institute of Geoanthropology, Jena, Germany is pleased to announce a new vacancy for two PhD
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Update July 10, 2025: CIHR is longer accepting applications for the CIHR Postdoctoral Fellowship program. Please refer to the Canada Postdoctoral Research Award program web page for information
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Creighton University School of Medicine - Phoenix is seeking an experienced leader to serve as the Hospice and Palliative Medicine Fellowship Program Director. The Program Director of the Hospice
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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics