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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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should hold, or be near completion of, a PhD/DPhil in Computer Vision, Machine Learning, Artificial Intelligence, Engineering Science, Computer Science, Robotics, Biomedical Engineering, or a related
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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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collaboration, knowledge sharing and new ideas are encouraged. You will also collaborate with the Psychiatric Imaging research group, led by prof. dr. Guido van Wingen, which specialises in machine learning
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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