223 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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research and excellent teaching and student support. We will shortlist based solely on answers to the questions asked as part of the online application process, so please do not include a CV, as it will not
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Confident Scheme. We 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
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Inclusion. We are delighted 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
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The unit is seeking to recruit two experienced Clinical Trial Managers to work within our multidisciplinary team to ensure successful delivery of trials. They will work closely with the Chief Investigator, other researchers and clinicians to ensure efficient and successful completion of the...
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and machine learning, uncertainty quantification, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic
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, Diversity and Inclusion . We are delighted 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
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our recruitment process and have published Candidate Guidance for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website
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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 support on application
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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project