Sort by
Refine Your Search
-
equipment in support of the PIC and 3D Printer Room. Assists in the maintenance of machine shop equipment, including repair and modernization of equipment such as 3D Printers, laser cutters, and CNC machines
-
Engineering: The Department of Electrical and Computer Engineering at Texas A&M University leads advanced research in several important national and global areas for the betterment of humanity. Areas
-
stairs of various heights; lifting equipment; and be exposed to noisy environments. Work Location: Main Campus – College Station, TX. About Electrical and Computer Engineering The Department of Electrical
-
and Computer Engineering The Department of Electrical and Computer Engineering at Texas A&M University leads advanced research in several important national and global areas for the betterment
-
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
-
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
-
with appropriate laboratory and/or technical equipment. Ability to effectively utilize a computer to process and analyze data and perform other computer-related tasks. Excellent organizational and record
-
, organoid and spheroid cultures or other 3D in vitro models. Knowledge, Skills and Abilities: Familiarity with appropriate laboratory and/or technical equipment. Ability to effectively utilize a computer to
-
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
-
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