910 computer-security-"https:"-"https:"-"https:"-"https:"-"CUBO"-"CUBO" Postdoctoral positions in United States
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contracts and your satisfactory job performance. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s
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or related areas; demonstrated publications; strong computational skills (e.g., Python, MATLAB); and experience analyzing large datasets and communicating results effectively. PREFERRED : Experience with
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace
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. If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA . In accordance with the Title II Crime Awareness and Security
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design
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a multidisciplinary research environment. Ability to promote the core values of Impact, Safety, Respect, Integrity, and Teamwork at Argonne National Laboratory. Please upload the following as
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. College of Engineering and Computer Science: The UCF College of Engineering and Computer Science is among the nation's largest producers of engineering and technology workforce talent and we are the No. 1
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level