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of Tasmania is dedicated to expanding the number and diversity of domestic and international partnerships and learning abroad opportunities, developing mutually beneficial partnerships that support our teaching
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programme in question, experience in any of the following is not required, but considered beneficial for your application: Experience working with Real-Time Rendering Experience working with Deep Learning
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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Georgia College & State University (GCSU) is the state's designated public liberal arts university, where students learn the essential skills to compete in a fast-paced and technology-driven global
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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optimization techniques. You have experience with modern Deep Learning Frameworks (PyTorch, Tensorflow, Jax) and proven ability of CUDA and Python programming. Knowledge of, or prior experience with, optimizing
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the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
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, Arkansas Tech University is a comprehensive public institution with a rich history, maintaining regional accreditation from the Higher Learning Commission (HLC) and classification as a Southern Regional
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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not only on its correctness, but also on when it is produced, making early detection a key requirement rather than a secondary performance criterion. Recent advances in deep learning have considerably