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an outstanding candidate to fill a tenure track Fellow (Assistant Professor level) position in the field of Computer Science, with emphasis on formal methods and theorem proving. The candidate is expected to start
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
competitive salaries and possibilities for startup packages. It also provides access to the university-level PhD programme in Computer Science. Tenure-Track Assistant Professor Positions For the tenure-track
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The Department of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time faculty. There are five graduate
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Pose EstimationStrong background in computer vision and machine learning applied to pose estimation and visual servoing; Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D
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stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
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Requirements Holder of a Doctoral degree in related field from an accredited institution; Applicants currently in the final year of their PhD program will also be considered for the Assistant Professor position
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reports, publications, presentations, and educational activities (courses, hackathons, community events). Your Profile: Excellent Master’s degree or PhD in Computer Science, Software Engineering, Data
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Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite
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policymakers Qualifications This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of
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expertise. As part of one of the four pillar areas of our PhD program, this position is expected to contribute to research and teaching connections with the adjacent pillars (Systems and AI) and other areas