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Research Assistant in Materials Science and Additive Manufacturing Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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19 Dec 2025 Job Information Organisation/Company Faculdade de Ciências e Tecnologia Department Divisão de Recursos Humanos Research Field Engineering » Materials engineering Researcher Profile First
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INV.JUN.17.2025 - DCM | JUNIOR RESEARCHER | MATERIALS ENGINEERING, NANOTECHNOLOGY AND RELATED FIELDS
19 Dec 2025 Job Information Organisation/Company Faculdade de Ciências e Tecnologia Department Divisão de Recursos Humanos Research Field Engineering » Materials engineering Researcher Profile First
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge
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or finance is preferred • Interest in pursuing a Ph.D. in economics Special Instructions To apply, please submit the following materials: • CV • Transcript • Brief statement of interest • Sample
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Description General Notes This is for an in-person position at the J.J. Pickle Research Campus in North Austin. Applicants must complete the UT employment application and submit addtional materials
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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extramural funding. Qualifications Ph.D. in Bioengineering, Materials Science, Chemistry, Pharmaceutical Sciences, or a related discipline, with a demonstrated track record of research publications
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware