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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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experience. Planned end date of the tasks subject to the contract: Friday, October 04, 2030 Eligibility criteria Topic: Mathematical and Optimisation Models Applied to Deep Learning for Image and Video
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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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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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machine learning architectures. Preferred qualifications: Prior experience or a strong interest in aging-related research and biology. Demonstrated experience applying deep learning or machine learning
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
. The candidate will join ongoing projects in our team and perform mathematical/computational modeling. The topics include (1) constructing deep learning-based models to predict the molecular microenvironments
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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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Registered Nurse (RN) license in Florida. Minimum of 2 years of recent clinical practice experience. Didactic (Classroom) Teaching: Master’s degree or higher in Nursing (MSN, DNP, or PhD in Nursing) required