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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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of department computing assets, including process of requisitions. A successful candidate will be self-motivated, interested in learning and troubleshooting; a team player, hands on and creative; and have the
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includes, but is not limited to: photonic data processing and communication systems; AI-driven optical signal processing and network optimisation; machine learning for photonic systems modelling, control
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. They provide high-quality, impactful, and inclusive experiences that deliver exceptional learning outcomes. Capella values the scholarly-practitioner model and expects Assistant Professors to continue learning
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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punctuality are critical to this position. Ability to quickly shift priorities as needed and instructed to by staff. 4. Strong computer skills with the ability to quickly learn new systems. Strong working
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: undergraduate or post-bac research experience in animal physiology Certificates/Credentials/Licenses NA Computer Skills Word and Excel software knowledge, willingness to learn lab specific software as needed
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: undergraduate or post-bac research experience in animal physiology Certificates/Credentials/Licenses NA Computer Skills Word and Excel software knowledge, willingness to learn lab specific software as needed
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on the research strengths in bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges