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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying
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with Linux/Unix systems; a solid grasp of data structures, algorithms, and software design principles; strong problem-solving and analytical skills; and excellent communication and collaboration skills
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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for a limited period of 2 years, in order to carry out research on the project "“Algorithms of Efficient Biomedical Time Series Analysis”. Working conditions and other details can be found on the Web page
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research directions include: Develop a novel microenvironment classification algorithm by extending existing methods Model indoor air quality levels in London microenvironments by combining machine learning
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years of relevant professional experience outside of academia in the area of generative algorithms for visual media. You have extensive experience in developing algorithms for AI-assisted media production
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We are looking for a motivated Senior Research Associate in Algorithms and Complexity Theory. What We Offer The University of Oxford is a stimulating work environment, which enjoys an international
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Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position will offer
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expertise in either Data Structures, Algorithm Design and Analysis or Python Programming. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated
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University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
computer vision algorithms and implementing these for specific clinical projects. 80% algorithm development, 20% deliverables (written and oral), all under the direction of the PI. Department Description