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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and
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preclinical cancer models. Responsibilities will include planning and performing experiments; collecting, processing, and analyzing experimental data; developing and optimizing research protocols; maintaining
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Classification Title: Postdoctoral Associate - Keeler Lab Classification Minimum Requirements: • PhD degree (within 2 years) or be in the process of completing a PhD in biological sciences (e.g
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will assess the viability of accelerated irradiation
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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Conduct independent and collaborative research investigating the molecular and cellular mechanisms of vision. Study the biological processes responsible for building and maintaining the specialized light
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-affiliated with the Yale Stem Cell Center, the Department of Comparative Medicine, and the Department of Surgery, providing a highly collaborative and multidisciplinary ecosystem. The position is ideal
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organometallic complexes. Designing and conducting experiments for reaction optimization and mechanistic studies. Analyzing experimental results using techniques including NMR spectroscopy, GC, and GCMS. Keeping
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, and transcytosis in the context of malaria immunology. Develop and optimize 2D and 3D endothelial-based assays to evaluate molecular modifiers of IgG handling and to investigate mechanisms