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Field
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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program at a Portuguese higher education institution - At least one publication in preparation on conceptual modeling applied to the socio-ecological system related to soil management in the Montado system
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within the ATHENA project. Generative models will be guided by a fit assessment using communication developed by other partners between the generation models (usually in the form of a graph or a string
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between DTU and KTH, combining advanced plasma modelling expertise to tackle one of the most dynamic challenges in energy science: improving fusion reactor performance through controlled powder injection
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MATCH consortium is looking for outstanding and motivated Doctoral Candidates (DCs) with the skills, knowledge, and enthusiasm to develop innovative and breakthrough research in the field
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methods to tackle challenges in scientific modeling. Affiliations: Technical University of Munich (TUM) & Helmholtz Munich Niki Kilbertus invites applications for a fully funded PhD position. We’re looking
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured