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our ability to recognise subpopulations, cell clustering alone provides limited functional data. Integrating transcriptomic with spatial data indicating proximity of neighbourhood populations can
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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related field, possessing a developing research profile and the ability to implement novel statistical methods using various computing programs. You may also: Have completed a PhD in statistics, applied
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for a PhD level researcher to support the curation of a number of creative outputs (or ‘stories’) on the subsurface and its contribution to the energy transition. You will join a team led by Associate
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skills and the ability to work collaboratively in a multidisciplinary, international research environment. You may also: Have a PhD in Resource Economics or a related discipline. Possess experience in life
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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subject and normally within eight years of completing a PhD or close to submitting a PhD. continuity of the job in the second year will be subject to the completion of the PhD 2. The ability to foster a
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research findings by helping to write publications, present at conferences and regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate