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) Your main responsabilities : To carry out research missions in the field of graph generation under constraints To ensure supervision and tutoring missions To contribute to the reputation of the School
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the period of the project, not exceeding the maximum period set by FCT for such grants. RENEWAL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https
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and compare energy consumption at different scales (building, block, neighborhood, city). 2. Produce relevant analyses and indicators for decision support Generate metrics, maps, graphs and
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, and clinical safety datasets Implement graph-based retrieval-augmented generation (RAG) methods to enhance knowledge extraction and information synthesis Develop cross-pathway analytical methods using
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department
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. A particular focus of the project will be on: 1) Graph Neural Networks for cosmology, neutrino and/or collider physics, 2) Domain adaptation methods / model robustness, 3) Uncertainty quantification
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(23:59 CET) Expected date of employment: October 1st, 2026 Terms of employment: 1. Full-time position. 2. Employment period: 24 months. 3. Place of work: Warsaw. Required qualifications: 1. PhD in
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information are provided here: https://www.eu4greenfielddata.eu/phd-positions-application/list-of-phds Deadline: 15th April 2026 Where to apply Website https://www.eu4greenfielddata.eu/phd-positions-application