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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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Description The Integrative Research Institute Law & Society (LSI), in cooperation with the DFG Graduate School DynamInt (DynamInt), is currently accepting applications for two doctoral scholarships at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate...
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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, Serbia, Slovakia and Ukraine who plan to complete postgraduate studies (i.e. Master's programmes), PhDs or one-year research stays at a Bavarian higher-education institution. The one-year scholarship can
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these systems are adopted and embedded. While some care homes use telehealth data proactively to support collaboration with GPs, others struggle due to workload pressures, limited training, and lack of managerial
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holders may receive the following additional benefits: Monthly rent subsidy (please read the important scholarship information / section F, point 9) Monthly allowance for accompanying members of family