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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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scholarly activity that enhances teaching and learning; serving as a member of the Luddy School in Indianapolis, departmental and programs committees; maintaining current knowledge and skillset in
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Required Additional Knowledge, Skills and Abilities: Basic computer proficiency with Microsoft Office applications and the ability to type 35 words per minute. Demonstrated strong writing skills to include
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are looking for a candidate with a background in machine learning or data science and strong software engineering skills. The Ph.D. position is a part of the strategic research area in IT and mobile
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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, and reinforcement learning) and end-user piloting of software systems - including technical attributes and legal/commercial considerations. Strong knowledge of Python and experience with machine
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/ Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
, scikit-image, SimpleITK, etc.), will be given special consideration. Knowledge of machine learning and artificial intelligence techniques is a plus. Previous experience in code parallelization, the use
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RON; knowledge of issues related to the analysis of ICT system security, including "hardening" of the system and identification of vulnerabilities in security. knowledge of distance learning systems (MS