36 phd-position-in-image-processing Postdoctoral positions at University of Luxembourg
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 12 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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paradigm shift in the processing, semantic enrichment, representation, exploration, and study of historical media across modalities, time, languages, and national borders. To complete our team in Luxembourg
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workshops, seminars and conferences Supporting a small team of PhDs related to the project Publication of articles in scientific reviews and contributions to conferences Assisting with teaching activities
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works Copy of a publication The name, current position and relationship to the applicant, of one referee Early application is highly encouraged, as the applications will be processed upon reception
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project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt
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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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will be processed upon reception. To ensure full consideration, candidates should apply by 15 August 2025ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving