367 computer-programmer-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" Fellowship positions in United Kingdom
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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, a major regional decarbonisation programme focused on reducing carbon emissions across north-west England and north Wales. The successful candidate will work closely with Dr. Nicola Scarselli as part
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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organising of the research programme and/or specific research project, including training courses Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected
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of Oxford (or be willing to relocate). During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. This is a fixed term
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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine