229 parallel-processing-bioinformatics-"Multiple" positions at University of Nottingham
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Gold Award . To 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
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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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to share that we are the first university to have achieved Athena Swan Gold Award . We want you to succeed in our recruitment process and have published Candidate Guidance for you to access information and
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the group and consider how they may contribute. The following are active areas of research in MAS for Thermofluids and Materials: Failure and degradation process simulation for transmission components and
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duties will include the organisation and supervision of the Building Attendant team and the cleaning operation, including maintaining the cleaning requirements within the areas to a high standard. You will
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Candidate Guidance 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
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are the first university to have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit
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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 smooth as possible. Visit the Moving to Nottingham
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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic modelling. Furthermore, Section members collaborate with