126 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Bristol
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the University’s property portfolio and will need to transport tools Are familiar with IT systems, including Computer Aided Facilities Management (CAFM) system / other general electronic/digital record keeping
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Support the Head of Hockey in the design, delivery and administration of the coaching programme across the Participation to Performance spectrum of a successful men’s and women’s hockey programme
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14th September if it is filled before then. We encourage you to apply at your earliest convenience to avoid disappointment. You will provision of specialist solutions within hybrid cloud computing
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Coaching players across our programme (juniors, students and adults), providing them with an excellent experience on court every time working with the rest of the coaching team. This position will
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activities. You have a PhD in Human Geography, Anthropology, Political Ecology, the Environmental Humanities, Environmental History, or a closely related field or equivalent professional experience in
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are safe, compliant, cost-effective, and aligned with University standards and strategic goals. Identifying and resolving risks and issues that affect scope, programme or quality. Overseeing remedial works
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computational methods in biophysics, soft matter, and colloid science to directly access molecular structures and interactions at complex bio-interfaces. The PDRA in Bristol (funded till 30 June 2028) will focus
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outputs based on expert knowledge in area of practice. This role demands a high level of expertise in computer networks, focusing on creating, managing, and optimizing large-scale WAN networks based on SD
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University wide. The post-holder will be responsible for developing her or his own research programme, carry out appropriate administrative tasks and deliver excellence in teaching at undergraduate and
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, and a recently awarded NIHR programme grant to develop, evaluate and apply methods to evaluate respiratory vaccine effectiveness and cost-effectiveness. Both projects are led by Professor Jonathan