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their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal, organization
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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sequencing data, and is especially interested in addressing fundamental biological questions through machine learning and mathematical modeling approaches. The Texas Medical Center is the world’s largest
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clusters, biophysics, solids and surfaces, machine learning, quantum computing, and self-consistent fields. We develop new theory and associated computational tools, which are supported and distributed
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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The KU Faculty of Mathematics and Geography’s research group Mathematics - Scientific Computing at the Mathematical Institute for Machine Learning and Data Science (MIDS) is seeking highly motivated
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal