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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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simulation campaigns in the group's different projects. Manage computing resources to support the different simulation campaigns. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of advanced models and algorithms
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algorithms to understand how perturbations to dynamic brain networks impact seizure likelihood. With an emphasis on the emerging field of digital twins for personalised health, the ultimate aim is to translate
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 11 days ago
of algorithms aligned with the needs of IT4Innovations projects. Full time equivalent: 0,5 - 1,0 Type of job contract: fixed term employment (ideally 1 year, or as agreed) Expected start of employment: 1. 5. 2026
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach