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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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30 Sep 2025 Job Information Organisation/Company MUNSTER TECHNOLOGICAL UNIVERSITY Department Human Resources Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD
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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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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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: 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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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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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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sources include traffic emissions, industrial processes, tobacco smoke, and domestic combustion (e.g. poorly ventilated stoves or heaters). While CO at low concentrations acts as a physiological signalling