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Field
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physics. Our experimental responsibilities include trigger algorithms and performance, detector calibration, and jet energy corrections. The two appointed candidates will work within the research project
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Bill Bahnfleth and Assoc. Prof. Greg Pavlak are seeking a self-motivated, highly skilled Postdoctoral Scholar to work on funded research in the area of
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algorithms, preferably in the domain of QC, such as QAA and QAOA Experience in cloud computing and building cloud computing infrastructure Interest and/or experience in developing and conducting lectures and
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principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry
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-Robot Swarms in Unknown Environments. CAIR invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or mechanical engineering, or related field to apply. A strong
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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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Job Description: Prof. Karmel S. Shehadeh, Gabilan Assistant Professor of Industrial & Systems Engineering is seeing to hire a Postdoctoral Scholar to work on fundamental or applied research in Prof
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics