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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas. The
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Job Description Apply now Apply Now Start Please wait... Job Title: Research Associate in Computer Vision and Environmental Modelling Posting Start Date: 22/09/2026 Job Id: 3149 School/Department
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learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an
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Research Unit of Health Sciences and Technology (HST), Faculty of Medicine the Center for Machine Vision and Signal Analysis (CMVS), Computer Science and Engineering, Faculty of Information Technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
doctoral degree by the proposed start date. Required Qualifications, Competencies, and Experience Strong research background in computer vision and multimodal machine learning. Experience with deep
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in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF
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Culture can be found at https://ung.edu/about/mission-vision-values.php Conditions of Employment Offers of employment are contingent upon completion of a background investigation including a criminal
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-time at 37 hours per week. Closing Date: Friday 30 October 2026 Interview Date: To be confirmed Reference: EL1284 Are you passionate about applying artificial intelligence and computer vision to