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Field
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to develop scalable and energy-efficient AI accelerators for resource-constrained IoT and networked systems through joint optimization of AI models and emerging hardware architectures. Topics will include: AI
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly Design, set up, and operate experimental systems for circuit-level measurements and data
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Your Job: You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and
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Vehicles (UAVs) Resource allocation and optimization Joint Communications and Sensing/PNT systems Network virtualization and network slicing MAC techniques/protocols for wireless systems Multi-antenna signal
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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Research Infrastructure? No Offer Description MetaTune is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program, starting in March 2026. The Network
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is one of 13 positions in the Marie Skłodowska-Curie Doctoral Network