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Trading Authority, Berlin (Elizabeth Mosqueda , Danira Baigunakova ) Timeframe: application, selection, fellowship Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification
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Foundation Icon Notification Notification Application procedure Fellowship Use the advantages of the network - for a lifetime! Programme announcement March 2023 Application deadline 15 October 2023 Selection
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and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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of excellence for four core research areas: Advanced Imaging of Matter (photon and nanosciences), Climate, Climatic Change, and Society (CLICCS) (climate research), Understanding Written Artefacts (manuscript
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environment, including: DFG Research Training Groups (RTG), International Max Planck Research Schools (IMPRS), etc. The complete list of units A list of classes for each semester A timeline of the PhD process
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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processes in inflammatory contexts Planning and carrying out own independent research projects Planning and independent execution of experiments Independent data processing and evaluation Supervision
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data