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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an
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) computational physics of strongly correlated electron systems closely related to energy storage in layered materials. Both positions will be for up to 3 years to work collaboratively and synergistically on a
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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DEPARTMENT The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Electrical Engineering and in Computer
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: This position will be primarily supervised by Dr. Francis X. Shen, JD, PhD. Dr. Shen is a Professor at the University of Minnesota Law School, a member of the Faculty in the UMN Graduate Program in Neuroscience
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. · The appointment is viewed as preparatory for a full-time academic or research career. · The appointment is not part of a clinical research training program, unless research training under the supervision of a
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Requisition Id 15983 Overview: We are seeking an R&D Associate who will focus on developing and applying advanced signal processing, wireless communications, and AI techniques to RF sensing, drone detection, and power grid waveform analytics. You will apply methods traditionally used in...
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agencies (e.g., NSF, DoD, DOE, NASA) to secure competitive external funding and support a self-sustaining research program. Lead and contribute to interdisciplinary projects in areas such as smart material
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process