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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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Description Applications are invited for a fully funded two-year postdoctoral position in Statistics, Machine Learning, or a closely related field under the supervision of Prof. Souhaib Ben Taieb
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As machine learning systems become increasingly
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effects of low-dose ionizing radiation. The position will contribute to the LUCID research program, a multi-institutional effort integrating experimental biology, machine learning, and mechanistic modeling
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Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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disease and related dementias (AD/ADRD), as well as broader gerontology studies. Potential projects will use causal machine learning and other statistical methods to understand how treatment effects vary
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across Duke and other institutions. Applicants should hold, or expect to complete before the start date, a PhD in computer science, machine learning, natural language processing, or a closely related field
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UNIVERSITE DE BOURGOGNE (University of Burgundy) | Le Creusot, Bourgogne | France | about 1 hour ago
active sensor in the control loop of complex robotic systems. This team conducts research on robust control, state estimation by vision, visual servoing and machine learning applied to cyber-physical
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machine learning or chemometric algorithms, LDIR, Py-GCMS and Raman, Caco-2 cells Additional Information Eligibility criteria Mandatory: *PhD in science, chemistry, food engineering or related disciplines