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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
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transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We currently have an opening for a Teaching Fellow in
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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group led by Prof Petra Hajkova investigates molecular processes that underlie global erasure of epigenetic information. As in vitro cellular reprogramming systems are notoriously inefficient and
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physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world
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lectures on the following modules: Analog Signals and Systems (45AH) Digital Signals & Systems (45AH) Machine Learning (45AH) Operating Systems/Computer Architecture (45AH) Computer Vision/Image Processing
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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experience Practical experience of pulmonary MR Track record of publications in MR imaging journals as a first author Ability to help supervise PhD students and researchers in technical aspects of MRI research
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range from PhD studentships through to major strategic funding investments, currently totally more than £400M in active research investments. You’ll lead a team of highly qualified scientists to deliver