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regional network of memory clinics in the Hauts-de-France region, and the demographic and clinical data within this database, specifically regarding patients at the memory center (in terms of the sex ratio
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The candidate will: • Hold a PhD in analytical chemistry or biochemistry with a strong expertise in mass spectrometry • Have broad experience in biological sample preparation techniques (serum, plasma, urine
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in Physics with strong interest for experimental physics. - Expertise in one of the followings: laser-plasma accelerators
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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researcher will join the ANR SCHEMA project team, which brings together researchers, research engineers, and PhD students from various laboratories and disciplines (LPG, IPAG, LaMPEA, LAPCOS, MONARIS
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changeYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for an enthusiastic, motivated, and autonomous researcher with: A PhD in glaciology, geochemistry, physics
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Eligibility criteria Applicants must hold a PhD in instrumentation for ionizing particle detection or a related field
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance