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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful candidate will be an integral part of the prestigious ERC
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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models by integrating insights from the cellular, thrombus, and organ levels? Would you like to be part of a prestigious doctoral network working to revolutionise personalized medicine by using cutting
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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the goal of building a multiscale foundation of knowledge that is directly relevant for understanding complex human diseases. This project is part of the TRANSCEND Doctoral Network (https://biomed.au.dk
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, BPC and CC-GWAS . Where to apply Website https://www.academictransfer.com/en/jobs/357521/phd-student-genetic-prediction-… Requirements Specific Requirements You are an ambitious and analytically strong
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the cellular, thrombus, and organ levels? Would you like to be part of a prestigious doctoral network working to revolutionize personalized medicine by using cutting-edge in silico, in vitro, and in vivo
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groups or practicals. Where to apply Website https://www.academictransfer.com/en/jobs/357530/phd-tumor-immunology-of-periton… Requirements Specific Requirements You hold a master's degree in Biomedical
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concepts into measurable, reusable methods. Context: You will contribute to the ERC Starting Grant GAMECHAR (Scalable AI-Driven Framework for Gameplay Characterization; https://cordis.europa.eu/project/id