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, applied mathematics, neuroscience, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar
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a culturally and linguistically diverse background, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
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other module development relateing to AI-assisted cardiac surgery. Other duties as assigned. Minimum Qualifications Bachelor's degree required. Preferred Qualifications Experience with deep learning
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in general. Where to apply Website https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg… Requirements Specific Requirements Master’s degree in Biomedical Engineering
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
(machine learning, deep learning); adaptive control and algorithmic optimization; integration of AI models in embedded systems and software platforms. APPLICATION Before applying, all candidates are invited
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51832010 - mohsen.assadi@uis.no Raoof Gholami - Professor - +47 51831406 - raoof.gholami@uis.no Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291112/phd-fellowship-in-sustain
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projects and to acquire funding. In education, you will teach in the Biology programmes, develop and coordinate a new course, and supervise research projects of BSc, MSc and PhD students. Where to apply
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scientist. Job requirements Professional experience Machine learning / Deep learning tools (pytorch) and predictive modeling Bioinformatics analysis of omics data Education and training PhD or equivalent