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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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effects using MRI in the exciting and emerging field of psychedelic medicine (https://adaptroadmap.org). The other half of this position will focus on imaging and behavioral studies of populations at risk
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Paradigm. Develops strategies to achieve strategic goals. Adapts strategy to changing conditions. Includes appropriate people in decision-making process. Strong administrative and organizational
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Paradigm. Develops strategies to achieve strategic goals. Adapts strategy to changing conditions. Includes appropriate people in decision-making process. Strong administrative and organizational skills
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and Community Representatives for Restorative Practices processes in response to harm that has already occurred. Coordinating the Conversations about Conflict assigned program, including the development
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Small Animal Clinical Sciences Location College Station, TX Open Date 5/31/2022 Position ID 96724 Description The Department of Small Animal Clinical Sciences, College of Veterinary Medicine
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for collaborative research within the University and with community partners, including active programs in artificial intelligence, quantitative imaging, and imaging informatics with direct clinical translation
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Required: Further Info: http://www.csulb.edu/colleges/coe/cecs/ Department of Computer Engineering Computer Science California State University Long Beach 1250 Bellflower Blvd. Long Beach CA 90840
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct