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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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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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algorithms that feature built-in verifiability and robust defensive capabilities. Collaborate closely with top-tier European universities and industrial partners. Participate in project implementation and
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( STAR ) and the Automated Design of Algorithms ( ADA ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally
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to address longstanding structural problems and inequalities. A substantial body of critical scholarship has highlighted the risks of algorithmic bias, the digital exclusion of individuals who already face
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Design in the Design Computation and Digital Engineering (DeCoDE) laboratory at MIT under the guidance of Dr. Faez Ahmed (https://decode.mit.edu ). Will be responsible for researching, designing, and
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of the project. The Mathematical physics position will contribute to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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Astronomy. The institute was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing