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survival time of the uncured depending on covariates (risk/prognostic factors, treatments). Your work will focus on developing statistical learning approaches that allow for high dimensional covariates and a
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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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team. You are not only collecting data, you are helping shape the future of care for women with rheumatic diseases.” Where to apply Website https://www.academictransfer.com/en/jobs/362834/phd-candidate
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institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated
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/research/research-groups/marjanka-schmidt/ ) and another 3 months in Proteotype Diagnostics Ltd, located in Cambridge, UK, under the guidance of Dr. E. Yates (https://proteotype.com/ ). Eligibility criteria
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Website http://isa-lyon.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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, MATLAB, C/C++, etc.) and/or knowledge of holographic imaging is a plus; Prior knowledge and hands-on experience with state-of-the-art machine learning frameworks (e.g., sci-kit-learn, Tensorflow, PyTorch
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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of Curiosity at the Donders Centre for Cognition. Curiosity is a powerful driver of learning, yet we still know relatively little about the neurocognitive mechanisms that support curiosity in children. In