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five main areas: advanced materials and manufacturing, deep underground science and engineering, critical and sustainable resources, smart and resilient cyber-infrastructure, and data science and
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. Proficiency in frameworks like Pyomo and/or TensorFlow/Pytorch/Keras Solid foundation in mathematics/statistics, with experience in cyber-physical systems modeling. Ability to work both independently and
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need: Doctoral degree What is helpful: Doctoral degree in materials science, chemistry, electrical engineering, computer engineering, mechanical engineering, chemical engineering, physics, chemistry, or
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(https://www.uta.edu/engineering ). Active research areas include semiconductors and photonics, power electronics; renewable energy and energy storage, electric propulsion; power systems, cyber-physical