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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized experimental facilities. Networking and exchange: You will participate in
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Description We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are
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program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas : DC6: Electron Emitter for E-sail Terms : The position is limited to 36 months. The period of
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) of the German Academic Exchange Service (DAAD). The structured graduate program is one of the core areas within the Munich Medical Research School (MMRS) and embedded in the Pettenkofer School of Public Health. A
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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Willingness to familiarise yourself in depth with new topics in the fringe area between algorithm development, high-performance computing and experiment Good problem-solving skills Willingness to work in teams
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity