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Field
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. Mathematical techniques include qualitative and numerical analysis of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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Job Description The Opportunity The Department of Aerospace Engineering, at the Daytona Beach Campus seeks a post-doctoral researcher to develop novel mathematical and computational tools
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methods to advanced imaging techniques. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer's Disease and the effects of anti-amyloid therapies on disease
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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future. The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is