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Field
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic
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intelligence; can present at national and international conferences; and prepare manuscripts as first or joint author for submission to leading journals and conferences in machine learning, cancer research and
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terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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training programs for PhD candidates and consortium members in interdisciplinary and transdisciplinary research methods; Develop and facilitate workshops and webinars to build collaborative expertise across
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city models focused on health and environmental infrastructures. Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban
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topics. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine
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electronic structure theory (e.g., density functional theory), and machine learning based computational studies of molecular and periodic systems. The postdoc will also work within a multidisciplinary multi
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supervised by Dr. Ali Trabolsi Required Education, Certifications, Licensing or Training PhD in chemistry. Preferred Education, Certifications, Licensing or Training PhD in chemistry having research topic