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Field
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Offer Description REMOD-HEALING is a Doctoral Network funded by the Horizon Europe Programme of the European Union. The REMOD-HEALING Consortium has funding for 12 full-time (100%) doctoral scholarships
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increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection
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region was economically and culturally a dynamic region in the late medieval Low Countries. The mid-size commercial towns of Deventer, Kampen, Zwolle and Zutphen were part of the extensive economic network
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Number BAP-2025-545 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is part of the Marie Skłodowska-Curie Doctoral Network “MAGNIFY” and aims to tackle
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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activities across these decentralised and increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project
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consumption of implementing learning and adaptation capabilities of increasing complexity at the edge. To the extent possible, the design should be agnostic to the particular choice of sensor and
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cellular processes at once rather than relying on a few individual proteins. This raises a fundamental question: how do complex cellular networks collectively ensure evolutionary robustness? Within the ERC
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leading to critical analyses and evaluations and the synthesis of new and complex ideas, as well as to develop the skills necessary for communication and promotion in academic and professional contexts
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to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks