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: 27.754 Frequency of calls: 12 International mobility required: no Website for additional job details https://titulus.unifi.it/albo/viewer?view=files/006624230-UNFICLE-c5a1c179-ec5e… Work Location(s) Number
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 13 days ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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scholar in geometric analysis or mathematical general relativity to contribute to our growing activities. Project description The purpose of this project is to conduct research in geometric analysis and
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report of the courses attended on the following topics: Analysis of Partial Differential Equations, Continuum Mechanics and Fluid Dynamics, Functional Analysis, Numerical Analysis, Probability and
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are part-time faculty who are hired on one-semester, renewable contracts to assist in one or two courses (not to exceed 0.40 FTE) per semester, either in-person or online. For this position, we seek
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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-built optical microscopes, developing control software, and building data analysis pipelines to extract quantitative information from dynamic samples. This fellowship is a software-engineering role with a
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a classified environment before. CCR La Jolla is part of a non-profit corporation, and our working environment feels like a mathematics department at a leading research university, albeit without
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expected by the start date of appointment. The successful candidate for the position must be eligible to work in the U.S. prior to the start of the position. The Department of Mathematics has
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academic qualification (usually PhD). Tasks: independent, curiosity-driven basic scientific research on fundamental mathematical optimization problems in the fields of machine learning and image analysis