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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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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
a scientific network providing top-level research facilities doctoral researcher positions (3 years, German TV-L E13, 65 %) and postdoctoral positions (2 years, German TV-L E13, 100 %) projects with
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). Fellows4Fungi – Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie Skłodowska-Curie Actions (MSCA COFUND). The programme is focused
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected
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. Must have excellent verbal and written communication skills, at least one first-author publication, and appropriate experience. Experience working with quantitative and/or social network data is
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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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, training, and participation in international research networks. A vibrant, international, and multidisciplinary environment that strives to be inclusive to people from diverse backgrounds. How to apply
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catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost