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. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning. Your tasks: Development and comparison of data driven models for the prediction of stresses in
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/ .
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applied machine learning. Location: SustAInLivWork Centre of Excellence (CoE) (Artificial Intelligence Centre of Excellence at Kaunas University of Technology (KTU)), Kaunas, Lithuania. The role requires a
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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. • Willingness to learn MathSpeak approaches to verbalizing math notation. • Technical abilities - knowledge of general computer accessibility capabilities. Salary and Benefits: The hourly rate is $25/hour
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular
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majors combined with other majors, and over 100 PhD students. The College of Science and Physics Department are in a vibrant expansion phase. The Department of Electrical and Computer Engineering (https