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Field
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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biologists and other researchers. You will be responsible for applying computational chemistry, chemoinformatics and machine learning approaches to drug discovery, including molecular modelling, virtual
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candidate will develop practical learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence. Key Responsibilities: Develop and implement machine-learning methods
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architecture, parallel systems, programming language theory, embedded systems or software engineering. Documented ability to teach operating systems and compiler construction. Practical experience of systems
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have an active scholarship program. Faculty may be required to teach online and nonstandard hours. Salary and benefits are competitive. About the Department: The Department of Computer and Information
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privacy, machine learning, and applied cryptography. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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the University, including Texas Robotics, the Machine Learning Laboratory, the Institute on Foundations of Machine Learning (an NSF AI Institute), Learning Directed Operating Systems (NSF Expeditions in Computing
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Computer Science, Cybersecurity, Information Assurance and Security, Mobile Application Development, and Machine Learning. The Department also offers an M.S. in Computer Science and a Graduate Certificate in
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teaching experience in related undergraduate courses; a demonstrated interest in educational innovation; strong problem-solving, debugging skills and working knowledge or familiarity with machine learning
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is BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and