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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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, chemical processing, and laboratory support in materials research. Preferred Qualifications: PhD degree in mineral processing, hydrometallurgical engineering, chemical engineering, material engineering, or
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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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., M.D., D.V.M.). The applicant should have a Ph.D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related field. Expertise in analyzing intracranial
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(engineering.pitt.edu/bioengineering) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, biomedical engineering, or closely related disciplines for an appointment stream
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through the tuition remission and dependent education programs. See the Benefits home page for more information. Position Summary The University of New Mexico, Health Sciences Center, Department of
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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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such as Microsoft Fabric. Experience with exploratory data analysis, feature engineering, and model evaluation Understanding of machine learning or statistical modeling techniques Familiarity with research
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(https://engineering.pitt.edu/bioengineering ) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, electrical engineering, or a closely related discipline