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Field
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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the largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and
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within the past five years, or anticipated to be received by 5/31/2026. Preferred skills: Experience in computer science, bioinformatics, or computational biology Experience in machine learning and
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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Education Institutions. Preference factors: Experience in research activities Minimum requirements: Knowledge of Computer Vision and Machine Learning 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute to translational advances in synthetic biology and