85 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD research jobs in United Kingdom
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of health economics researchers based at the University of Oxford’s Nuffield Department of Primary Care Health Sciences (NDPCHS). The successful candidate will help develop and deliver a portfolio of health
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health facilities, staff
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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will be employed for a period of 6 months and will be required to fulfil the research obligations of a project entitled Development of Hydrogen Hybrid Energy Storage System H2SS Reactor and Advanced
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, working closely with Professor Nora Pashayan. The successful candidate will focus on developing ethnicity-specific risk thresholds that more accurately reflect the variations in breast, ovarian, and