52 parallel-programming "Computer Vision Center" Postdoctoral positions at Carnegie Mellon University
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programming skills. Strong background in machine learning / computer vision/ human behavior modeling, with specialization in one or more of the following areas:, supervised/unsupervised/self-supervised learning
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about programming and mathematical modeling A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Priorities will be given to candidates
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, one of the leading Computer Science programs in the world, and a unique Evidence Synthesis Program with deep faculty-librarian collaborations across the university. The Postdoctoral Associate in
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planning skills Strong problem-solving and reasoning skills Dependable programming skills Are you interested in this exciting opportunity?! Apply today! Joining the CMU team opens the door to an array
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university through their work. Qualifications: PhD Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large
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robotics, computer vision, and machine learning venues. Contribute to proposal development and sponsor reporting. Co-supervise graduate and undergraduate students. Present research results to academic
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, operations research, economics, or a related field. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming
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cognitive computational neuroscience (e.g., neuroscience, mathematics, cognitive science, computer science), or a related discipline required Preferred experience in analysis of behavioral and imaging
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their work. Qualifications: PhD in areas covering computational neuroscience (e.g., neuroscience, mathematics, cognitive science, computer science), or a related discipline required Preferred
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data-analysis and programming skills using Python, R, Stata, or comparable software. Ability to develop research questions and execute research projects with a high degree of independence. Strong