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research program. This program focusses on the clinical translation of research findings with the use of implementation science and candidates should have relevant backgrounds in kidney health research
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spacecraft data—including from MAVEN, Mars Express, Tianwen-1, and the upcoming EscaPADE mission—you will contribute significantly to a globally collaborative programme within the Planetary Science Group and
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and ultraviolet auroras of Jupiter. Your focus will be on analysing data from the James Webb and Hubble Space Telescopes and developing ionospheric models, with a view to generating novel scientific
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EAP Coordinator (based in Chongqing Medical University, Jinyun campus, Chongqing, and Leicester, UK)
Programme of Clinical Medicine and Clinical Science | Services for Business | University of Leicester About you We are seeking an EAP Course Coordinator for an initial two year contract who can teach high
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such as Computational Modelling, Data Science, or Applied Mathematics. You should have experience of teaching or mentoring in either academic or industrial settings, with a strong commitment to student
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About the role The University of Leicester has partnered with Dalian University of Technology (DUT) since 2017 offering a range of College of Science and Engineering Bachelor degree programmes
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team and contribute to a programme of work led by Prof Pratik Choudhary around type 1 diabetes and technology. The appointed individual will have the opportunity to contribute to the real-world evidence
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PhD in Politics, Sociology, Economics, or other relevant Social Science programme. You will have a track record of use of advanced quantitative methods, including time-series cross-sectional and/or
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research programme focused on the isolation, purification, and characterisation of novel phage proteins, working closely with the Senior Postdoctoral Research Fellow and a collaborative academic team. Your
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scientific Python programming. Experience with version control systems, environmental simulations, machine learning frameworks such as TensorFlow or PyTorch, and high-performance computing environments is