3,002 phd-studenship-in-computer-vision-and-machine-learning Fellowship research jobs
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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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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duties as assigned by the Centre Director and Assistant Director Job Requirements: PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field Minimum 3 - 5 years
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their independent learning and thinking skills Recruit and build cohorts of young people to participate in the NxtGen Researchers programme Build strong relationships with schools, local authorities, and third sector
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in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be in distributed database systems
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Number: 6325358 2027-29 Transfusion Medicine/Clinical Informatics Fellowship University of California Los Angeles Requisition Number: JPF10179 Due to the recent rapid expansion of electronic health records
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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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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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. 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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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