87 algorithm-development "https:" "IMT Atlantique" Postdoctoral positions at Cornell University
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Postdoctoral Associate – Transdisciplinary Agroecology - CALS - Department of Global Development Postdoctoral Associate – Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing deployment
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. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning, optimization, or simulation models to improve clinical operations
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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[map ] Subject Areas: Psychology / Quantitative Human Development Aging Salary Range: $62,232 to $88,745 Appl Deadline: (posted 2026/01/20, listed until 2026/07/20) Position Description: Apply Position
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the Agricultural Sciences major. School faculty also contribute to the Biology, Global Development, and Viticulture & Enology majors. Position Function This position is associated with the Becker Lab in the Plant
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research biological control, including interactions mediated by a predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab
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; developing and implementing quantitative models to estimate the impacts of soil health practices on soil health outcomes, productivity, risk and farmland values. The Postdoctoral Associate will lead the
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy