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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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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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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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generation dual species Rydberg quantum computer with >400 fully addressable qubits for scalable digital QC (aQCess - Atomic Quantum Computing as a Service) currently under construction. For more information
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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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Council. He or she will gain expertise in multi-scale molecular dynamics simulations, enhanced sampling techniques and application of machine- learning techniques to analyze simulation data, all applied
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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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at EM2C lab, which consists in introducing virtual species and reactions whose thermodynamic and chemical properties are optimized by machine learning algorithms to retrieve properties of reference flames
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | 4 days 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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on Software Development Engineering and System Design Knowledge and practice in Model Driven Engineering: Meta Modelling, System Modelling and Model Transformation, Basic Knowledge in Machine Learning and NLP