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the Department of Electrical and Computer Engineering, as well as supporting ZACH and Web labs that are managed by the Electrical and Computer Engineering Department. Responsibilities: Maintenance and support for
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education, research, and public service. Job Description Purpose: The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in
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implementation of the laboratory's activities. Responsibilities: Selects, orders, installs, repairs, modifies, and maintains machines and a variety of shop equipment and tools, construction materials, component
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applications. Topics of interest include: (i) generative AI, (ii) molecular language models, (iii) structure prediction, (iv) active learning & optimal experimental design (OED), (v) multi-modal AI/ML models
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principles, practices, and protocols. Knowledge of software, including ROS, C, C++, JavaScript, Python, and Git Knowledge of computer-aided drafting techniques, and design, including SOLIDWORKS. Knowledge
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education, research, and public service. Job Description Purpose: The Engineer will perform research in the department of electrical and computer engineering, the NanoBio Systems Laboratory, a
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supervision, performs a variety of clearly-defined technical functions that support academic projects, academic teaching and research operations in Zachry Labs. General areas of focus include: Machining and
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clearly-defined technical functions that support academic projects, academic teaching and research operations in Zachry Labs. General areas of focus include: Machining and Fabrication, CNC- mills & lathes
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++, JavaScript, Python, and Git Knowledge of computer-aided drafting techniques, and design, including SOLIDWORKS. Knowledge of electronics, PCB design and Altium design software. Ability to draw conclusions and
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, combined with machine learning and artificial intelligence to inform material selection, design, discovery, and development. Responsibilities: Perform independent research and collaboration with team members