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recordings. More information on the smartphone can be found here: https://www.kneuhealth.com. The successful applicant will work closely with our senior postdoctoral scientist on Deep learning and Machine
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). Desirable assets are: • Machine learning, deep-learning, artificial intelligence, advanced statistical inference; • A solid record of research activities, including relevant publications in international peer
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Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your
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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Develop and evaluate deep learning or related AI methods that adjust BGC productivity, physiological parameters, and ecological terms within a process-based BGC framework while maintaining physical
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for Business (BUS 1350) course. Candidates should be qualified to teach Microsoft Excel at an appropriate level for freshmen students in the School of Business. Candidates should be devoted to excellence in
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Job Description The School of Nursing has an outstanding opportunity for an Instructional Designer to join their team. About this Opportunity Reporting to the Director of Learning Technologies