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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the project: Development of a regional normative BrainAGE model for morphometric measures. The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in
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: Transcriptional and Protein Profiling of Gut Microbiome Bacteria-Derived Extracellular Vesicles (BEV). The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health
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-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project
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. A randomised, double-blind, placebo-controlled fMRI study.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | about 1 month ago
Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: This project
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Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: (Peri
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), cognition, and microRNA - microbiome dynamics in ageing mouse model.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with
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candidate/MSCA fellow for the project: “Individual sensitivity to hormone replacement therapy.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in
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-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: Recent advances in