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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental retardation, renal and breathing
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 18 hours ago
semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Dresden Leibniz Graduate School (DLGS) is a joint interdisciplinary facility
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combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
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to research into the mechanisms and treatment of multiple sclerosis (MS) and related diseases. Our institute combines reseach at the biomedical center (BMC) with taking care for patients at the Klinikum
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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, pedagogic study, and other fields. What unites faculty is an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association
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research which combined efficient optimization and sequential reliability assessment. The project is funded through an EPSRC call to accelerate research outcomes to achieve a prosperous net-zero and is
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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout