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Field
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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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human cohorts would be a plus. Minimum level of training and/or experience required : Doctorate in Computer Science on a topic related to machine learning or deep learning Research FieldComputer science
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Research Framework Programme? HE / MSCA Marie Curie Grant Agreement Number 101120240 Is the Job related to staff position within a Research Infrastructure? No Offer Description Machine Learning for Quantum
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omics tumor profiles, and proceed by sophisticated machine learning approaches as well as biological network modelling. At Institut Curie our situation is ideal to pursue these goals, since the choice
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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experimental campaigns to acquire the data required for his thesis, as well as for the MONI-TREE project as a whole. The PhD will take place in LETG-Rennes, with expected missions to ONERA's Palaiseau for works
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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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-based drug design Machine learning Molecular dynamics HTS data and SAR analysis Communicate with project teams and other departments: Interact with other experts in the project in various experimental
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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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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