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) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
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microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong
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Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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retirement plans; generous vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu/humanresources/benefits
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vacation, sick, and personal time; and more. To learn more about employee benefits and eligibility at Bard College, please visit https://www.bard.edu/humanresources/benefits/ Qualifications The Dean
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Scientist / Scientific assistant – Tree species detection using deep-learning Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and
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multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and
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the primary areas below: Communication, Teamwork, Technology, Career & Self-Development Position Duties Collect, clean, and annotate agricultural image datasets Design, train, and fine-tune deep learning models