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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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responsibilities (10%): · Supervising and mentoring research staff, PhD students, or postdocs · Providing guidance, training, and technical support to others in the research team · Ensuring
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by the European Research Council - ERC COG 101088763. The work for this position is in the area of Machine Learning, Decision Theory, Reinforcement Learning. Scientific Area: Information and Data
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in
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weak gravitational lensing, galaxy clusters, or large-scale structure. Experience with cosmological simulations and machine learning is highly desirable. Postdoctoral associate in exoplanet atmospheres
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Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project on developing machine learning tools for pavement management. The project is conducted in collaboration
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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the link between research, teaching, and practical application by integrating research results into courses and developing new learning activities in collaboration with industry. The postdoc will join the
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; preparing and monitoring operating, fellowship, gift, industrial, MicroMasters, DataScience-Machine Learning, and project/research budgets, including annual entry into Nimbus for IDSS/TPP; serving as the