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analysis of neural data collected during NHP experiments. ●Apply specialized knowledge of neuroscience methodologies (e.g., electrophysiology, imaging, behavioral neuroscience, rodent and NHP neurosurgery
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California State University, Long Beach | Long Beach, California | United States | about 19 hours ago
undergraduate and/or graduate level courses in computer engineering, computer science, software engineering, or any related areas At least one year of postdoctoral or equivalent research experience in software
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, Arctis). Integrate novel future hardware technologies, e.g., double Cs/Cc imaging correctors, Helium temperature and STEM, into sustainable internal and external user operation. Engaging with researchers
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you and aligns with your academic interests, we encourage you to get in touch to discuss potential PhD or postdoctoral opportunities. References Life expectancy can increase by up to 10 years following
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. We invite applications for a Postdoctoral Research Associate position to work on the research project project MakingAI: AI-Driven Integration of 'Messy' Data in Technical Art History
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Lab
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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tomography and will include using and advancing 3D/4D image quantification for such materials/data plus establishing experiment/data-analysis pipelines. You will develop your own experiments as well as working
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California State University, Long Beach | Long Beach, California | United States | about 19 hours ago
and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction
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in teaching activities, and offer mentorship to students. Created through a unique partnership with the Department of Orthopaedic Surgery at the School of Medicine (https://www.orthonet.pitt.edu