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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php Offers of employment
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reactivity under realistic conditions. A central aspect of the role is the derivation of interpretable descriptors from electronic structure calculations and the application of machine-learning methods (e.g
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer
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information from clinical notes ? Implementing machine learning models for prediction and classification tasks in cardiovascular populations ? Cleaning, preparing, and managing large healthcare datasets
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partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells
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, and water quality using process-based ecosystem and Machine Learning models, and/or remote sensing or combined experimental/modeling approaches. Example research topics include, but are not limited