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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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21 Sep 2026 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of...
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are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable
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Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an
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the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing modelling and optimisation approaches with
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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aimed at developing new simulation models and methodologies for innovative powertrain technologies—both thermal and hybrid (thermal-electric)—suitable for road transport vehicles, marine transport, or off
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Are you passionate about modelling the behaviour of chemicals in soil and water to support sustainable agriculture and environmental protection? Do you want to turn complex system understanding
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an interest in language models. * Ability to analyse complex data and assess the uncertainties and limitations of models. * Strong interest in the humanities and social sciences, climate issues and
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-source scientific software library. You will be part of a larger project at the Uncertainty in Complex Systems lab (PI: Dr Max Hinne) aimed at learning which statistical and/or computational model is most