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record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS, RSS, CoRL; IEEE-TRO, IJRR
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
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Torr on linkedin: https://www.linkedin.com/in/philip-torr-freng-frs-1085702/?originalSubdomain=uk Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a
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, Prof Lynn Rocheste and Prof Paul Watson frm the School of Computing.. It will be based in the Translational and Clinical Research Institute, it will focus on the application of advanced machine learning
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management and presentation skills Basic computer skills for applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and follow up skills Strong
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given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees (M.Sc.-level) must corresponding to a minimum of four years in
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, Applied Mathematics, or a closely related area. Demonstrated competence in machine learning, including experience with medical image analysis, computer vision, or related AI methodologies. Experience
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other duties as assigned and/or required that are within the level of responsibility for this classification at the discretion of the supervisor. Equipment Operated: Computer and all other standard office
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Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php Offers of employment are contingent upon completion