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analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning
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analysis, programming. You aspire to do a PhD in economics / finance later. For the style of research involved in the “Machine learning” track, see the paper “Asset Embeddings ” at https://papers.ssrn.com
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include participating in the development of machine learning-based design methodologies alongside experts from Southampton and MIT (USA). Additionally, you will engage in the nanofabrication of designed
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We are looking for an Associate Research Scientist to work at the interface between climate modeling and machine learning. The successful applicant will perform research as part of the multi
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University of Munich (TUM). The focus of our research is the development of methods and reliable predictions regarding the service life, efficiency, and vibration behavior (NVH) of machine elements, such as
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at Cornell University, but the project will include close collaboration with colleagues at Penn State and MIT, as well as a machine learning-focused geothermal start-up (Strabo Analytics). The entire project
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(Helsinki Institute of Life Science, University of Helsinki) is looking for a postdoctoral researcher with background in neural network models . Our group develops computational models, machine learning and
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| Automatic Control Laboratory, Department of Information Technology and Electrical Engineering PhD Position in Machine Learning Seismology 100%, Zurich, fixed-term 02.05.2024
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a