9 computer-programmer-"Multiple"-"Prof"-"O.P"-"University-of-Southampton"-"U.S" Fellowship positions at University of Leeds
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interdisciplinary research, work effectively in a team environment, show commitment to addressing the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple
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the ESRC Smart Data Research UK programme (https://www.sdruk.ukri.org/ ). HASP enables high quality, novel and robust research utilising Smart Data. In collaboration with data and delivery partners, it
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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, alongside a new UK Multiple Long-Term Conditions Collaborative (UK MTC) funded by NIHR. What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom
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curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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Do you want to make a difference in patients’ quality of life by creating innovative robots that are able to treat incurable diseases? Are you excited about contributing to scientific research in surgical robotics? Are you able to think outside the box to find innovative solutions to...
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Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an experienced and ambitious researcher looking for your next...
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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure