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conditions in integrated terrestrial and non-terrestrial networks (LEO satellites, HAPS, and UAVs) and to cascading radio access networks (RAN) failures/degradations. AI-Driven self-healing MAC – develop
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University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website. Aarhus University Aarhus University is an academically diverse and research-intensive university
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182). The campus is located in a green setting and is easily accessible by public transportation. Employee benefits: partial reimbursement of transit fares and/or a transportation allowance, university
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grow independently. You’ll have access to excellent facilities for state-of-the-art self-driving platforms and spectroscopy, and also organic and materials synthesis. We value personal development: you
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of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles and advanced radar prototypes
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Transport Technology of the Faculty of Mechanical Engineering. You will receive supervision and guidance while having the freedom to shape and develop your research. You will have access to well-equipped
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been trained. The distributed nature of federated settings introduces unique challenges for unlearning: the central server never directly accesses raw data, information encoded in aggregated models can
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comprehensive programme of training to support both technical and professional development. Core technical training will include in-house numerical modelling sessions, supplemented by access to specialised FEFLOW
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the Norwegian Public Service Pension Fund (SPK) As a PhD Candidate at NTNU, you will have access to employee benefits . Diversity Diversity is a strength, and at NTNU we aim to be an employer
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also include generative or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access