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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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will contribute to high-impact projects, including: 1. Developing and validating algorithms that extract data from the Epic EHR (e.g., large language models) via comparison with manually extracted data
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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implications for equity and access to justice. This position will support the development of a curriculum that critically examines law, technology, and inequality, including issues such as algorithmic bias
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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and out of distribution detection. The post-holder will join Prof. Toby Breckon's research team at Durham University, for an initial fixed-term period of 24 months, funded by an ongoing portfolio