33 algorithm-development-"DIFFER" Fellowship positions at Nature Careers in United Kingdom
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Postdoctoral Research Fellow (Assay Development Scientist) Job details Salary: The starting salary will be from £42,882 up to £52,565 on Grade F, depending on qualifications and experience
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progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to March 2028 Closing date: 13th August 2025 Background This research project aims to establish the theoretical and algorithmic
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International travel may be required for this role. Background This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop
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role in developing our knowledge of the effect of radiation (microbeam +/- FLASH) on fibroblast and myeloid populations in pancreatic and bladder cancer models. About you The successful candidate must
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contract, individuals may also be supported to apply for PhD funding for a different role to commence at the end of the CRF contract. *This is a 1-year post to gain clinical experience in HPB oncology and to
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to: rhizosphere and phyllosphere microbiology microbial evolution molecular and/or structural aspects of plant-microbe or plant-fungal interactions the molecular biology of soil-dwelling bacteria or fungi
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advancing the Crick’s mission and shaping our culture! We are bold. We make space for creative, dynamic and imaginative ideas and approaches. We’re not afraid to do things differently. We are open. We’re
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We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a
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mathematical and physical sciences with experimental analysis in biology and biomedicine (Living Systems Institute | University of Exeter ). Fusing different disciplines empowers discovery across scales; from
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Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research