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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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Electrical Engineering, Computer Engineering, Computer Science, or related field. Strong background in digital communications / signal processing (e.g., modulation/coding/synchronization; performance
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COMPENSATION The hiring range for this position is expected to be: $78,000-$83,000 BENEFITS AND PERKS A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 401(a) and 403(b
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in statistics, machine learning, clinical investigation, and research leadership; and develop an individual development plan addressing publications, funding, communication, networking, and the next
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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC
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(https://icds.psu.edu/ ), and National Security Institute (https://nsi.psu.edu/ ). The position is designed to catalyze interdisciplinary research, support proposal development, mentor students, and
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The application must include: A cover letter. A current curriculum vitae. A brief description of the applicant's current research interests. A two-year research plan together with a description of longer-term
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new