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and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field
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a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering, Mathematics, Computational Biology, Bioinformatics, Artificial Intelligence, Computer Vision, Computer Science, or Statistics
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3D multiplexed tissue imaging. BAIR supports users at every stage of the imaging process, from experimental design and sample preparation via in-depth training to developing complex automated imaging
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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the PhD student consolidation of results, synthesis, drafting of a user manual and industrial construction recommendations Target result: creation of a characterisation bench prototype, validation, drafting
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the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a combination of approaches applied to large datasets, including
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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for copyright infringement arising from G-AI output? The candidate will be dedicating 80% of their time to research and 20% to teaching. Where to apply Website https://www.academictransfer.com/en/jobs/357215/phd
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of senior lab staff. This includes setting up the animals within the experimental apparatus, all aspects of imaging and computerized data acquisition. Analyze and process experimental data obtained. Trouble
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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups