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to a PhD (or in a non-degree programme). - Demonstrated experience on optimisation of private post-5G networks, particularly in packet and multi-band scheduling, as well as SDR programming
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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-in-cyber-… Requirements Specific Requirements A PhD degree in data science, computer science, artificial intelligence, operations research, econometrics, or a closely related field; Demonstrable
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Programme? Not funded by a EU programme Reference Number PEPR-DIADEM Is the Job related to staff position within a Research Infrastructure? No Offer Description The present PhD proposal is part of the project
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Framework Programme? Not funded by a EU programme Reference Number 2026/032 Is the Job related to staff position within a Research Infrastructure? No Offer Description Essential requirements PhD degree
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Priorities: We seek applications across all AI domains, with emphasis on: Foundational AI : Machine Learning, Computer Vision, NLP, Robotics & Embodied Intelligence, Data Science. Interdisciplinary Frontiers
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students University fees and bench fees: This studentship will cover university fees at the home rate. However
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Funding Entity: Instituto Superior Técnico (IST) Operational Programme: Recovery and Resilience Plan (RRP) Eligibility criteria Admission Requirements Candidates should hold a PhD degree in Mechanical
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Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ) . TARAs benefit from waived study fees and will work towards a PhD in an area of
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind