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Field
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experience in many-body quantum theory and/or quantum computing. Experience with numerical methods or quantum simulation frameworks. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number
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of the stock structure of many fish populations in the Baltic Sea is limited. For numerous species, we lack detailed knowledge about changes and spatial variation in migration patterns, reproduction, size and
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and of research methods and techniques to work within established research programmes. Applicants should be able to demonstrate a successful track record in clinically-relevant psychological research
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure
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, aerodynamic, and aeroelastic testing. Develop and apply advanced numerical models (e.g., FEA, CFD) to simulate wind effects on structures. Analyze and interpret experimental and numerical data, and disseminate
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of reactor systems. Knowledge of heat transfer and fluid dynamics for nuclear system applications and reactor safety analyses. Knowledge of computation methods and numerical solvers for engineering
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. The Department Biostatistics at UNC Chapel Hill has numerous exciting research programs of relevance to health science, including focus areas in genomics and big data. This position is funded by a training grant