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Field
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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Directed Research and Development (LDRD) project. This research focuses on understanding how critical elements are distributed at mineral-water interfaces, with the goal of revealing the fundamental chemical
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of lithium-ion and next-generation batteries using ARC, DSC, overcharge, and mechanical abuse testing. · Develop and validate electrochemical-thermal-mechanical models to simulate battery behavior under normal
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Work Environment Entrepreneurial culture Affiliation with Texas A&M University students and faculty Ability to work with nationally recognized experts Ability to help train the next generation of
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into practice, so that end users can make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway
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for PDE-based models and numerical methods. Research areas within the group include: • Analysis and numerics of nonlinear PDEs • Development and analysis of solver and coupling methods • Mathematical
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the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business models for all parties in
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models of biological processes, derive appropriate predictions, and design/conduct experiments to test those predictions. Prepare manuscripts and figures for publication. Present work internally at