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integration. Strong communication skills and a collaborative mindset. Knowledge, Skills, and Abilities Solid knowledge of power-system analytical methods (power flow, economic dispatch, state estimation
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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vision, animal welfare, and behavior. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part
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://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly describe at politically and societally relevant scales different
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
accurately distinguish specific aphid-morphological traits (wings/no wings, estimated weight, different developmental stages and color differences, etc). Screen a pea collection for aphid resistance in
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accurately distinguish specific aphid-morphological traits (wings/no wings, estimated weight, different developmental stages and color differences, etc). Screen a pea collection for aphid resistance in
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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carbon stock estimates within the project “A better check on soil carbon - a novel sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work