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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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. 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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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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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
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(LIG), a 450-member laboratory with teaching faculty, full-time researchers, PhD students, administrative and technical staff. The mission of LIG is to contribute to the development of fundamental
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medicine at the University of Chicago. Chun-Su Yuan, MD, PhD, Director of the Center, follows the philosophy: The most important thing is to make discoveries to benefit our patients. Thus, researchers in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - AI/ML Drug Discovery for Brain
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of the EUTOPIA alliance. Where to apply Website https://academicpositions.com/ad/vrije-universiteit-brussel/2026/phd-in-ai-driv… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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management, anomaly detection, etc.) is considered a significant asset. Similarly, integration and exploitation of knowledge (ontologies, knowledge graphs, formal models, neuro-symbolic approaches, expert