111 assistant-and-professor-and-computer-and-science-and-data "DIFFER" Postdoctoral positions
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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engineering, with applications in energy systems and other natural and engineered networks. Additional Information: Hiring Salary: $61,800 Application materials should include: - Cover letter outlining your
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) the information in your candidate profile as it will transfer to your application. Job Title: Research Track Faculty - Assistant Professor - Medical Oncology Department: Medicine | IM Medical Oncology The Ohio
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engineering, or a related field (for postdoc); a master’s degree is required for research assistant level. Strong knowledge of process modeling and integration principles, including mass and energy balances and
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expanding area at the School of Engineering, and we are hiring several assistant professors, postdocs and doctoral students. For more information about our department, visit our website . The newly
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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positions, visiting assistant professors, and visiting research associates. Department College of Engineering and Computer Science (CECS) - Computer Science Work Schedule Monday - Friday, 8:00 am - 5:00 pm
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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop