70 parallel-processing-bioinformatics-"Multiple" Fellowship research jobs at University of Nottingham in United Kingdom
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help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK
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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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over the following 9 months. Researchers from multiple UK universities have been involved in the development of the 11.7T National Facility and the appointed Research Fellows in UHF MRI/S will work with
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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groundbreaking primary dataset comprising multiple linked surveys as part of the Observatory’s longitudinal cohort studies, and through the analysis of administrative datasets (e.g. the National Pupil Database
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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with innovative methodological approaches. The Centre will reshape knowledge of how slavery in war can be analysed, forecasted and tackled, shaping in the process a new interdisciplinary field