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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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. · 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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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
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as Senior Researcher in the field of radio channel characterisation and antenna system validation as per August 1, 2026, or as soon as possible thereafter. The position is available...
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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strong collaborative and programmatic ties with several other departments, including Psychology, Pharmacy, Physics, Chemistry, and Computer Science. This position represents a unique opportunity for an
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strong collaborative and programmatic ties with several other departments within (Psychology, Physics, Chemistry-Biochemistry) and outside the College of Sciences (Department Computer Science), College
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-of-the-art AI solutions (machine learning, reinforcement learning, optimal control, neuromorphic computing) that help bring the consortium forward in modelling and understanding biological intelligence