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with a focus on efficiency and the prioritization of parallel projects. What we offer Fascinating challenges in a scientific and entrepreneurial setting Attractive salary package according to TvöD with
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- experience with HPC clusters, parallel or distributed computing - German language skills We offer - a cutting-edge research environment at PETRA III imaging beamlines - collaboration with leading institutions
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organizational skills experience with HPC clusters, parallel or distributed computing German language skills We offer a cutting-edge research environment at PETRA III imaging beamlines collaboration with leading
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standards for the use (and development of policy around) AI in disaster management. In parallel, Fraunhofer HHI is contributing to the Working Group on Digital Transformation for Hydrology and Water Resources
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on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal platform
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment This structure
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research
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research projects. In parallel, they participate in the comprehensive BIGS DrugS education programme, which includes workshops, lectures, colloquia and symposia. Mentoring is performed by two experienced
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English. German is helpful but not required. Relevant experience in some of the following technologies Advanced shell scripting skills. Experience with Storage/Databases (SQL/object storage) and parallel