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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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Evaluation Research (HEER) Program, we provide accessible data to policymakers, advocates, and the public. Our work focuses on understanding social drivers of health, revealing health inequities, and
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research and teaching within The University of Queensland (UQ) School of Electrical Engineering and Computer Science (EESC). The QDA brings together academia, industry, and government to accelerate
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About Texas A&M AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife
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), Computer Security (x86 assembly), Computer Architecture, Algorithms, Operating Systems, Networking, Database Systems, and other Computer Science electives. Applicants interested in teaching an existing
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: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications. Maintenance and improvement of existing audio algorithm code base including noise reduction, acoustic echo
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level