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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 9 days ago
PhD or equivalent degree in the above-mentioned fields. What we offer State-of-the-art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A
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-temperature scanning tunnelling microscopy, ARPES, Kerr microscopy, femtosecond pump-probe and terahertz spectroscopy, electron microscopy, positron annihilation. Theory: high-performance computing, and
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-ISCB) is a high-level interdisciplinary research platform established as a strategic priority of the University. Based within Shantou University Medical College, the Institute advances the frontiers of
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KU Leuven | 2 months ago
observatories on ground and in space, as well as high-performance computing centres. The envisioned research will start from assembled literature samples of observed massive close binaries with one or more
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high-performance computing, automated workflows and reproducible data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that
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contributions in one or more of the research fields listed above. Demonstrate the capability to secure research funding independently fund and lead a research team. Maintain high scientific integrity and
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quantification; groundwater or hydrologic modeling; and GIS/remote sensing. Proficiency in R and/or Python and experience working in a high-performance computing environment. Excellent written and verbal
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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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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis
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complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging