64 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of London
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and Hypertension (SLASH). This project brings together expert academic teams and wider stakeholders to develop policy interventions to reduce salt intake to prevent high blood pressure, heart disease
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-developed knowledge and expertise in EBV mechanisms of transformation and small molecule drug discovery pipelines. You will have experience of cell biology, molecular biology and biochemistry techniques and
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, this will include: Approach and develop relationships with and on-boarding schools, including skilled liaison with senior leadership teams within schools. Visiting school sites to establish procedures, set up
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. About You A Msc in Bioinformatics or Computer Science and independence in R and python are mandatory. Experience in web site development is favorable. About the School/Department/Institute/Project
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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seeking to appoint an education-focused Research Fellow in Travel Medicine to support the development and delivery of a new online short course in Travel Medicine. The post-holder will work closely with
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/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly
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competitive rewards and benefits package including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System