49 high-performance-computing-postdoc Fellowship positions at University of Nottingham
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on publication of outcomes and high-quality peer reviewed journals will be expected and supported with numerous opportunities to publish provided in this role. Candidates should hold (or be near to completion) a
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, support staff and academics who work together to deliver research from fundamental to high level TRL. The successful candidate will contribute to several projects by managing a growing research team while
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sufficient knowledge in fields of gender, work, labour, and/or employment. The School of Geography is committed to high-quality research and knowledge transfer, and we have a strong culture of
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) funded programme of research into eczema online trials, led in partnership with citizen scientists (Rapid Eczema Trials https://rapideczematrials.org/ ). You will play a senior and significant role in
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friendly and highly experienced team undertaking a qualitative research and educational development project funded by the Burdett Trust for Nursing, Women’s Health Grant Programme. The project seeks
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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for an individual aiming to lead interdisciplinary, high-impact research through collaboration with leading researchers in the field. The successful candidate will be expected to meet regularly with other project
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are currently performed in our laboratory. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological science. The successful candidate should ideally
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, will study the drivers of relapse in acute myeloid leukaemia (AML) with the goal of improving treatment options in this poor outcome cancer. You will perform and analyse next-generation sequencing