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of Inria and will be supervised by Nikolaos Georgantas ([email protected] ) and Maroua Bahri ([email protected] ). Mission confiée Automated Machine Learning (AutoML) is an approach
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of Research ExperienceNone Additional Information Additional comments Programming skills in Python/C++ are expected, as well as an interest in research, machine learning, bio-inspiration, electronics, and
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machine learning, speech science, cognition and behavioural studies. If all disciplines are addressed in this PhD position, candidates without expertise in some of the areas listed below are nevertheless
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is an impossible task in metasurfaces composed of millions of elements. The PhD aims to develop methods using machine learning surrogate models to solve this complex design problem. The project aims
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computer vision and robotics, the WILLOW team has consistently produced high-quality research, resulting in publications in major journals and conferences. As part of the team, you will have access to a well
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Artificial Intelligence Motivation Trustworthy artificial intelligence (AI) is a multifaceted concept underpinned by three critical pillars: Trustworthy Machine Learning, Trustworthy Inference (often
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, including expertise with frameworks such as PyTorch. - Advanced knowledge in Machine Learning and Pattern Recognition. - Expertise in BioMedical Image Analysis. - Strong foundation in applied mathematics and
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, control, machine learning. Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD
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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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of this project are expected to be published in the main natural language processing conferences/journals (*ACL/EMNLP/TACL) and/or main machine learning conferences/journals (NeurIPS/ICLR/ICML/AISTATS/TMLR