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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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and satellite network performance from user devices, particularly Direct-to-Device. Assist in the development of models to predict or explain network behaviour under different conditions. Contribute
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Integrated Systems for Implementation." The position is associated with the research project: "Predictive System for the Presence of Environmental Residues and Corrosion on the Surface of Photovoltaic Modules
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research, digital health solutions, and the development of AI-based predictive models using large-scale clinical datasets. This position is particularly suited to a clinician-scientist with a strong
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
Computational Modeling for the Discovery and Characterization of New Metalloenzyme-catalyzed Reactions” Computational Bioinorganics: From Description to Prediction, John Wiley & Sons https://doi.org/10.1002
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modeling, lifetime prediction, and assessment of material integrity. Thermo-mechanical characterization, focusing on fracture behavior, performance under extreme conditions (temperature and speed), and
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modeling, lifetime prediction, and assessment of material integrity. Thermo-mechanical characterization, focusing on fracture behavior, performance under extreme conditions (temperature and speed), and
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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events as well as the development of solar particle radiation interplanetary environment prediction models (contact: Àngels Aran) New instrumentation for astrophysics for Montsec Observatory, including
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, atomistic simulations, and machine-learning techniques, the postdoctoral researcher will develop predictive models of mineral carbonation processes and provide fundamental insight to guide and complement