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the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation theory and AI, combining argumentation theory
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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technologies for various applications including underwater acoustic communications. Prof. Rong (total citations 4744; h-index 37) has good track record in underwater acoustic communications. The supervisors
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for space logistics. With the development of mathematical models and optimisation algorithms, we aim to support strategical, tactical and operational decisions in the context of the deployment of in-orbit
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”. These methods and algorithms will be applied in the fields of (customs) fraud detection, anti-money laundering, and/or misinformation detection, in collaboration with experts from the field. Thanks to
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
at that level. In this context, it is also important to consider aspects such as the intepretability and explainability of decisions given the context, as well as to ensure that the algorithmic design permits
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relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills. Your education must correspond to a
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Electronic States in N-Heteropolycycles (Prof. Felix Deschler) 2) Ultrafast Dynamics of Heteropolycycles with Multidimensional Femtosecond Spectroscopy (Dr. Tiago Buckup) 3) Investigation of coherent charge
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algorithms for construction-related planning problems. It is part of the project Easicon, a collaboration between the University of Groningen, VolkerWessels, Districon / Royal HaskoningDHV, and BuildingSMART
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Uncertainty”, in which researchers work on developing new theory, algorithms, and case studies for discrete decision-making problems under uncertainty. For example, the newly developed algorithms will be