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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
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interventions around tackling food insecurity on long-term trends of health outcomes for Liverpool and England. You will be based alongside Professor Mark Green in the Geographic Data Science Lab within
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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neurological function, including in rugby and snow sports. You should hold or be near completion of a PhD/DPhil in Biomedical, Electrical or Information Engineering or other relevant disciplines, and possess
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in the field of Economic/Human Geography or a related discipline Outstanding dissertation
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specialist scientific equipment and act as a source of information and advice to other BPI team members. You will collaborate in the preparation of scientific reports, journal articles, and present papers and
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experiments playing an important role not only in motivating and inspiring the mathematical approaches, but also in providing the data sets against which the models can be validated. The principal focus
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PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior to taking up your appointment. The research requires experience in bottom-up mass spectrometry
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will have a PhD (or close to completion) in engineering, materials science, physics or other closely-related disciplines. You will be a highly motivated and responsible researcher with strong curiosity