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learning-powered algorithms as well as hybrid approaches, combining either reinforcement learning or deep learning (Graph Neural Networks) with human-based modelling, for fully flawless and autonomous method
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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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language of this project is English, and the candidate should be proficient in written and spoken English (also at teaching level). Requirements are listed here: https://set.kuleuven.be/phd/applicants
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Position You will work actively on the preparation and defence of a PhD thesis in the field of durable concrete repair and service life extension. This doctoral research addresses the current wave of
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
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reasoning about tree ensembles. This work will be undertaken in the context of Flanders AI Research Program (https://www.flandersairesearch.be/en ) 3) 1-2 PhD students working with Prof. Jesse Davis
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(Belgium) is offering a position for a full-time PhD student. The position is associated with a research project that aims integrating human preferences and fairness considerations into scheduling processes
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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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%) doctoral scholarship holder in the field of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Resource-Aware AI for Next-Generation Networks