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research. The applicant will be affiliated with the Institutes of Clinical Biometrics and Outcomes Research of the Center for Medical Data Science, Medical University of Vienna (MedUni Vienna), Austria, and
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/ Center / PI Job Title: Postdoctoral Associate - Machine Spatial Reasoning Office/Location: SUNY Polytechnic Institute The Center for Safe and Secure AI Robotics is looking to hire a post-doctoral associate
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/ Center / PI Job Title: Postdoctoral Associate - ML/AI Electrical Engineering Office/Location: SUNY Polytechnic Institute The Center for Safe and Secure AI Robotics is looking to hire a post-doctoral
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critically on viable commercial mechanisms that support healthy development for model providers and downstream users. Core Responsibilities:Empty heading Analyze LLM-based commercial models by collecting
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block • Plant onion bulbs/watermelon seeds for crossing block • Develop breeding populations • Collect multi-location field, greenhouse, and nethouse data and maintain database which requires a
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approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through the various core facilities at Princeton University
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through high-precision geochronology. The successful candidate will be based in the Corals, Caves & Chronologies Lab at UF and will conduct geochemical research on fossil corals. Core responsibilities
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community. CORE JOB FUNCTIONS Conducts research on specific areas of study as assigned. Prepares research reports and technical papers for publishing. Investigates the feasibility of applying a wide variety
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academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
translational research. Our work bridges data science and oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and