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, where innovative ideas and scientific advances are encouraged and valued. Federated learning (FL) is a promising paradigm that is gaining grip in the context of privacy-preserving machine learning
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protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR. Federated learning
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the field of algorithm configuration and selection in a streaming fashion by investigating techniques that continuously optimize machine learning models as new data instances arrive [2]. A key focus will be
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of different thicknesses and compositions . The student will participate in the material growth and the fabrication of the oxide membranes and their characterisation. They will learn how to characterise
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DeepTypo project, which aims to use deep learning models to study the typography of languages. The work will focus on creating a bidirectional system that (i) from an audio recording will predict
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-I) for the NASA HWO project. Additionally, you will benefit from the support of the Machine Learning “Centre de données Astrophysiques de Marseille” (CeSAM). The Laboratoire d'Astrophysique de
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learning new techniques and finding answers to problems. You want to take advantage of the opportunity to do your PhD in two different countries and learn from different cultures and expertise. Where
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climatic conditions, using machine learning approaches based on isotopic data. SSIAs for δ13C, δ15N and δ34S in dentin collagen and δ66Zn in enamel to reconstruct the evolution of seasonal habitats and the
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strong interest in computer science (software development, machine learning techniques, etc.) is desirable. · Applicants must have a maximum of 3 years of research experience after the PhD. · Language
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. The student will be closely supervised and will acquire theoretical and experimental skills in optomechanics, optical levitation, quantum mechanics, and quantum optics. The candidate will focus