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the potential of Graph Neural Networks (GCN, GAT) to learn a representation space in which basic individual characteristics such as the sex can be predicted, with promising results [4]. The aim of this PhD
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Marseille Institute of Developmental Biology (IBDM) | Marseille, Provence Alpes Cote d Azur | France | 8 days ago
are looking for multiple talented students to join our fully funded PhD projects aimed at studying how two recently discovered and oppositely acting transcriptional regulators control metabolism in
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Offer Description PhD Thesis Description The broad interest in deep neural networks has driven recent advances in anomaly detection, also called out-of-distribution or novelty detection. Deep anomaly
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level to study the physico-chemical properties of materials in extreme conditions, particularly in situ. The PhD student will be based at CEMHTI's high-temperature site. The PhD student will join CEMHTI's
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, Wave control, Fault-injection PhD Context: Electromagnetic cybersecurity relates to the use of electromagnetic waves to compromise data. Keyboards are critical targets because they are widely used as a
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Africa over the last three million years frequently focuses on correlations between global climate dynamics and the fossil record. This PhD topic proposes a different approach based on the biogeographical
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configurations when other solutes are present (such as carbon in solid solution) or when dislocations interact with carbides that have potentially trapped H atoms. Objectives In this PhD project, we propose
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: Contrat doctoral Funded PhD project PHD title: Doctorat de physique PHD Country: France Requirements Specific Requirements The applicant will be in possession of a Master in Sciences. X-ray coherent
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, the detailed understanding of the molecular interactions between pathogens and their hosts is crucial. The main goal of this PhD project is to study the surface interactome of an important human-specific
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effluents, based on bio-based and/or eco-designed sorbents. Project (36 months: from 1st October 2024 to 30th September 2027) The recruited PhD student will initially be responsible for developing polymer