20 software-formal-method-phd Fellowship positions at UNIVERSITY OF SURREY in United Kingdom
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. Can plan and carry out data collection using qualitative and/or quantitative methods. Is confident working with a range of stakeholders, including members of the public, emergency services staff, and
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or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling or related fields. You will have expertise in
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research publications and deliver scientific presentations at national and international conferences. About you Candidates should have a higher research degree (PhD) in a relevant subject such as cell
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have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
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We are looking for a candidate who has completed or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling
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multidisciplinary team in Mechanical Engineering and Civil and Environmental Engineering, and will have the following responsibilities: Development and implementation of hardware and software; Data analysis and
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) results in enormous paradigms marked solely by the modulation of vowel properties. The NILOMORPH combines fieldwork, experimental methods, and historical linguistics to account for the phonological
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data management and archiving, project administration and manuscript preparation. A proven track record in these areas is essential. About you Candidates should hold a PhD in a related discipline and
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Research Unit Award in Cancer Awareness, Screening and Early Diagnosis. The University of Surrey is seeking a talented mixed methods research fellow (with a background in Psychology, Behavioural Science
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advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research experience in epidemiology and statistics