309 machine-learning "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions in United Kingdom
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Full-time: 35 hours per week Fixed-term: for 12 months The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working
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background knowledge in statistical genetics, machine learning, omics data analysis, and computational biology. Additional knowledge in transcriptomics, statistics, and foundation models is also desired. Fixed
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Full-time: 35 hours per week Fixed-term: for 24 months, with start date of 1st September 2026, or as soon as possible thereafter The University of Edinburgh is a world-class, research-intensive
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interdisciplinary team using cutting-edge approaches to explore the design and development of climate services for pastoral communities in East Africa. The University of Edinburgh along with partners at the Alliance
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personal and professional development opportunities. To learn more follow the link to our benefits website . To apply For further information on the Post Doctoral Fellowship Schemes and how to apply please
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Full-time: 35 hours per week Fixed-term: for 36 months The Opportunity: A postdoctoral position is available in Adele Marston’s lab in the Centre for Cell Biology, University of Edinburgh
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at the University of Edinburgh, which is a vibrant scientific community within a lively and beautiful city. The project is an exciting collaboration with colleagues in the College of Medicine & Veterinary Medicine
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Full-time: 35 hours per week Fixed-term: for 22 months The Opportunity: Where curiosity becomes impact. Join the University of Edinburgh and you’ll be making a difference to everything around you
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infections, causing ~147,000 deaths in AIDS patients. This will be a highly interactive and collaborative study with the groups of Prof. Hardwick at the University of Edinburgh and Prof. Sanyal at JNCASR
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, chair of synthetic biology at the University of Edinburgh Centre for Engineering Biology to work on development of gene switches for use in gene therapy. The selected researcher will join an