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the lab to investigate the role of key regulators such as CSNK1E and PLCB2 in immune responses to viral RNA. Work with cell and animal models to elucidate the physiological roles of these regulators and
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downscaling for Africa. We aim to get the first models developed rapidly, and you will support work to ensure that the methods can be run, evaluated and improved by partners in African universities and weather
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on developing safe interactive navigation and manipulation capabilities for mobile robots operating in complex, dynamic environments. The research fellow is expected to contribute to the following key aspects: a
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equivalent qualifications/experience High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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, and will be expected to conduct high quality academic research, using health economics research methods, to evaluate complex health interventions in the UK NHS. You will have experience of undertaking
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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experiments and electromagnetic field sensing. Strong publication record and ability to manage complex experimental systems. Proven ability to work effectively both independently and in collaborative teams. We
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available involves conducting data analyses for a project that focuses on understanding health disparities among migrant youth populations. The analysis will require advanced complex sample statistical data
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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models for children. College / Directorate College of Engineering, Design & Physical Sciences Department Department of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title