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apply cutting-edge computational and AI approaches to large-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi
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machine learning, deep learning, foundation models/LLM. Excellent quantitative and analytical skills. Strong written and interpersonal communication skills. Strong motivation & ability to work
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled
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experience with the PyTorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in
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collection settings (preschools, homes) using a variety of methods (child-centered wearables, deep learning, fNIRS, eyetracking). The postdoc will primarily be mentored by Meg Cychosz (Linguistics), but
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imaging and patient care. You will join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
that fosters professional growth and development. Qualifications A Ph.D. in Computer Science, Chemical Engineering, Materials Science, or a related field, with a strong focus on deep learning