311 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data and preparing publications for other
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as your application to assist us with our equal opportunity monitoring. A paper copy can be obtained here . Key Information Deadline: 7 Jan 2026 12:00pm
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(Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical
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, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure
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(typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School of Government wishes to appoint a
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the area of chemical engineering, thermal systems, and mechanical engineering. Conduct design and improvement of the existing pyrolysis system, Perform experiments, data analysis, and technical reporting
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techniques and models, for the collection and analysis of data Contribute to developing new models, techniques and methods Collect, analyse and interpret research data To ensure the validity and reliability
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. Supported Areas for START - Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability
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offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process