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Associate and Assistant: A recognised first class masters degree (or equivalent) in Aerospace, Mechanical Engineering or a closely related discipline In addition: Experience in computational mechanics
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
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Hydro-Climate Extremes research group and work closely with Dr Xiaowen Dong (Department of Engineering Science), Dr Michel Wortmann, and project partners at ECMWF, Google Research and the Environment
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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(BSPP) in the Faculty of Human, Social and Political Science. The start date for this role will be as soon as possible. This is an exciting opportunity to join the Bennett School of Public Policy (BSPP
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation