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models of epilepsy, mouse behavior, and large scale optical imaging techniques. Weekend work may be required. Job duties: 50% - Perform laboratory research The candidate will work closely with
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion
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to, basic radiographic exams using fixed and portable imaging equipment in various settings such as Outpatient/Inpatient, OR/Hybrid, ER, fluoro and Endoscopy. Performs various radiographic exams and processes
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/epifluorescence imaging, and basic image analysis. The role involves tissue processing and data collection across multiple projects, collaborating closely with students, postdocs, and senior lab members. Strong
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supervision. Prepare, process, and ship specimens/samples accurately under well-defined requirements. Provide support for in silico 3D reconstructions of gross brain images and tissue and fluid-based
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imaging in molecular systems, as demonstrated by scientific publications in the field. Required skills include operation and alignment of laser instrumentation, and programming experience in e.g. MATLAB
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of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model architectures
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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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made until after that date. Questions about the position may be directed to history@illinois.edu. Apply for this position through https://jobs.illinois.edu and use the Apply Now button on the posting