96 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Newcastle
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academics, professional staff and postgraduates from different disciplines to engage with policymakers, through the delivery of a programme of cross-cutting activities designed to connect research, policy and
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collaboratively with academic and non-academic partners to develop and deliver applied research and/or impact. They should also have experience of using participatory methods when working with stakeholders (e.g
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and managing the expectations of numerous stakeholders Ability to work on own initiative, taking decisions and actions to meet the expectations of the Project Sponsor and needs of the users/students Use
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, management, and development of the University’s Educational Psychology (DAppEdPsy) programme. You will have knowledge and understanding of contemporary research and development in the field of Educational
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hypotheses for drug discovery. You will use a variety of methods including semi-preparative HPLC and LC-MS. You will display an in-depth knowledge of technical or scientific practices, methods and procedures
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responsibility for the management of learning, teaching and student experience related activities relating to the MBBS programme, which includes managing an administrative team. This role is part-time for 0.4 FTE
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and care. The UK-wide Consortium will develop an innovative and transformative capacity building programme of career development awards and opportunities that are linked and embedded within the MDC’s
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. The role will provide high quality food for university customers through traditional cooking methods or cook chill. The University catering and hospitality is a busy fast paced environment, working in
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experience of supervision of research students. This post forms part of a clinical academic career development programme devised by Newcastle Health Research Partnership (NHRP) ( https
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part