31 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at DAAD in Germany
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EUR for the return to Paraguay. Selection Crucial selection requirements: Above-average performances during the previous studies High quality dissertation or research Project Further information
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instrumentation and high‑performance data acquisition and signal‑processing systems. We contribute to large-scale research projects such as Pierre Auger Observatory, Belle II, CMS, LHCb, FCC-ee, XENONnT, DELight
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this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. Apply your data science skills to real-world challenges! At the Helmholtz School for Data
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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are among others: above average academic performance personal suitability for the programme and its objectives knowledge of the German language (at least level B1) good command of English The selection
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and