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PhD process MATH+ Fridays – Kovalevskaya Colloquium Each semester, MATH+ designates one of the MATH+ Friday colloquia as the Sonia Kovalevskaya Colloquium . This lecture features female mathematicians
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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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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
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Chair of Biological Imaging 11.07.2023, Wissenschaftliches Personal We now seek a highly qualified and motivated PhD student (f/m/d) to design, develop, and test novel optoacoustic sensing platforms
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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for the applications of the production, which are taken in our industry projects directly on site into the operation. What you will do Creation and preparation of image and tabular data in collaboration with experts
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on ranges from concept and prototype development for industrial laser manufacturers to publicly funded projects in the field of basic research, for example in the generation of EUV radiation through non