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Project description Third-cycle subject: Solid Mechanics ENDURE is looking for a doctoral student for the project “Physics-based modelling of network deformation and damage in natural fibre moulding
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Industry4.0 for MFP industry - the ENDURE Doctoral Network comprising 12 Doctoral Candidates is designed to train this next generation of scientists and engineers. ENDURE is a new Marie Skłodowska Curie (MSCA
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communications, network security, and advanced data-driven methods. This is a unique opportunity to contribute to pioneering research that tackles one of today’s most pressing challenges: how to design resilient
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join a world-renowned team on an interdisciplinary project to develop advanced state-of-the-art machine learning models for decision-making in complex systems. The Division of Decision and Control
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experimental validations. Training an AI agent using both generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments
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generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments for generative design activities. You will collaborate closely with
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of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project. Supervision: Professor
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solutions that unlock insights from complex omics datasets, particularly epigenomics. You will work at the intersection of AI, genomics, and translational medicine, assessing and developing tools that enable
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Description of the workplace The Secure and Networked Systems Division within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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staff position within a Research Infrastructure? No Offer Description Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided