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by providing support and expertise to researchers. The key areas of the center are High Performance Computing (HPC), Cloud Services, Data Analytics, and Data Management Services. We assist a large
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research support activities. Familiarity with high-performance computing, cloud computing, AI platforms, research data management, or research software engineering. Experience developing research
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by providing support and expertise to researchers. The key areas of the center are High Performance Computing (HPC), Cloud Services, Data Analytics and Data Management Services. We assist a large
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, robotics, drones, IoT devices, and power management for embedded, compact, and high-performance computing systems. The role strengthens DHFE’s research profile at the interface between power electronics
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hereafter. The duration of the position is three years. Your work tasks This PhD position focuses on the application of quantum computing to computational challenges in power systems with high shares of
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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and plant biology is an advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary
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biological data collection, extraction, and standardization Knowledge of multi-omics integration and plant biology is an advantage Familiarity with large biological datasets and high-performance
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platforms geospatial data analysis and use of GIS software (e.g. QGIS) and cloud-based geospatial analysis platforms such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to