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* * * * Each applicant, including current employees, must upload the following documents in the resume section of the application. Applications cannot be edited after submission. Resume Copies
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optoelectronic devices) while also connecting to application-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly
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the PhD program (https://www.utrgv.edu/cla/academic-programs/clinical-pyschology-phd-program/index.htm) mentor graduate students in the PhD program in clinical psychology, and serve as a clinical supervisor
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knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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of Applications Begins Applications will be reviewed as needs arise Special Instructions to Applicants Please upload a current CV/resume and include names and contact information for three professional references
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Summary Meeting future energy demands requires efficient, low-carbon systems capable of storing and releasing heat when needed. This PhD project aims to develop next-generation latent heat thermal
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expertise in either mechanical engineering, electrical & computer engineering, or civil engineering. Although the anticipated hiring rank is Lecturer/Instructional Assistant Professor, senior levels will be
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and Experience Requirements PhD degree or equivalent in Electrical or Computer Engineering or a related area. Three to five years of teaching and/or industry related experience in the fields
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and moved by laser-based optical tweezers in a closed action–perception loop. Your work will help transform current observation-only live-cell imaging microscopy into actively controllable, automated
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to an advanced Laboratory Directed Research and Development (LDRD) project, "Machine Learning Steered EXAFS Fitting for Autonomous XAS Analysis," aimed at revolutionizing real-time analysis of X-ray Absorption