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artificial intelligence and/or machine learning, digital health, wearables, etc. Contribute to Epidemiology curriculum development, teach epidemiologic methods as part of the Epidemiology PhD methods sequence
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and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning
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with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 22 days 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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, Artificial Intelligence, Computer Science, or an equivalent qualification. You have in-depth knowledge of deep learning techniques. You have experience with Python. You have in-depth knowledge of knowledge
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following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf . The current minimum salary range
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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https://www.cvc.uab.es/blog/2025/11/21/phd-position-on-continual-learning-of-fo… Work Location(s) Number of offers available1Company/InstituteComputer Vision CenterCountrySpainState
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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