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.2021.118920 [3] Trends in Chemistry, 6, (2024), doi.org/10.1016/j.trechm.2023.12.001 [4] Machine Learning for Advanced Functional Materials, Springer, (2023); doi.org/10.1007/978-981-99-0393-1_8 Funding
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. This last aspect is particularly developed using machine learning methods, in which the team has recognized experience. These methods are deployed on a wide variety of study sites and projects, including
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the limits of the scale in force. Mission confiée The main objective of this project is the understanding and development of robust and effective stochastic optimization methods for training deep learning
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interface (restorative BCI), consist in providing real-time feedback to a patient about his or her own brain activity in order to learn how self-regulate specific brain regions and help him or her perform a
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facial expressions and modifications in speech patterns using NLP and machine learning techniques. This will be achieved by analyzing video recordings of multiple patients, with each recording annotated by
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or R. - Knowledge of machine learning methods. - Ability to work independently and as part of a team, and at the interface between life sciences and computer science. - Good writing and communication
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. - Experience in statistical and machine (deep) learning. - Ability to work independently and as part of a team, and at the interface between life sciences and computer science. - Good writing and communication
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 4 hours ago
developed by MaIAGE partners (e.g. Omnicrobe application*, Ontobiotope ontology*, extraction workflow). Expected results:The PhD student will design and evaluate original machine-learning-based methods
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concepts such as distributed cognition, edge computing, machine learning, formal ontologies, unplugged artificial intelligence, frugal computing... Smart Villages (a rural version of the Smart City) and