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Field
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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battery systems in grid applications. As a result, there is a pressing need for rigorous research to develop integration strategies, modeling approaches, and regulatory frameworks that enable reliable and
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design the simulaton models that will help airlines fly future aircraft types profitably
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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. This PhD aims to address research questions such as how can AI and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase
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[GEM] Coordinator: prof. Brunella Franco Info: gem[at]ssmeridionale.it Mathematical and physical sciences for advanced materials and technologies [MPHS] Coordinator: prof. Nicola Fusco Info: mphs
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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess