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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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: 1089, bioRxiv (2025)) by carrying out protein biochemical, cell biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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, including the operation of magneto-optical traps, the production of quantum degenerate gases, optical trapping and optical lattices. The post holder are expected to be able to work effectively both
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stress resilience. Applicants must be highly motivated, with a PhD in plant biology or a related area. PhD students about to submit their thesis in a relevant area will be considered. The successful