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processes. Your responsibilities will include: Conducting high-quality research on the suitability of available methods to model metal-ligand complexes in water, with a focus on machine learning techniques
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deliverables on a diverse array of projects while supporting Center faculty, staff, and student researchers. Broadly, the Research Associate will lead or support the following tasks: Data analysis, modeling
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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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, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX
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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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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
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in