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looking for research engineers with the following backgrounds: Medical Imaging Medical time-series analysis Foundational Models Medical AI New Learning Paradigms Representation Learning The collaborating
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be
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imaging system for immunology. A novel, rapid AAV-mediated technology for generating transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing
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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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The Energy Technology Group at the University of Southampton invites applications for a post-doctoral research fellow position in the area of experimental optics, lamellar liquid crystals and
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, as part of the Molecular Ensemble Sampling and Simulation (MESS) collaboration. The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by
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tomography, magnetic resonance imaging and positron-emission tomography CT/MRI for patients with suspected lung cancer. At UCLH, we have a bronchoscopy suite with state-of-the-art equipment and technology used
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems