136 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Bristol in United Kingdom
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-building and cross-sector collaboration. A track record of educational innovation and student-centred programme design. Commitment to equality, diversity, and inclusion in leadership. Effective governance
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sciences, computing, mathematics, or similar fields. A high level of computational expertise is essential. Familiarity with Bayesian methods and/or atmospheric science is desirable. Excellent communication
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This is an exciting opportunity for a Research Associate (RA) to join an interdisciplinary team (crossing Sociology and Computer Science) as part of a one-year Accelerator project for UKRI Smart
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excellence in the pathophysiological, genetic and psychosocial causes of chronic pain. You will be encouraged to develop your own independent research programme and collaborate with other research scientists
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having completed a PhD programme in the last 12 months) to participate in a fixed-term set of projects linked to prostate cancer health services research, with the ultimate aim of strengthening your track
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history, and an interest and significant previous experience in historical research related to the history of Hong Kong, broadly conceived, or who can demonstrate a commitment to a compelling new programme
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credentials (e.g. ACA, ACCA, CFA, CIMA) Experience managing large capital or infrastructure programmes Expertise in treasury, pensions, or tax Senior leadership or governance experience in finance or investment
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programmes. We are seeking outstanding individuals who have significant experience in general practice to help Bristol Dental School prepare our students for life in practice. As well as contributing
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proven ability to plan, develop and deliver a complex range of services to a wide range of stakeholders, whilst ensuring the service supports the strategic aims of the organisation. For informal enquiries
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(AstraZeneca, Evotec and Genentech) and EPSRC-funded programmes of research, working with synthetic chemists to test our machine learning systems against challenging real world examples. The role holder will