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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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Posting Details Position Details Title Postdoc in Real-Time Data Analysis with LHCb at Indiana University Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington
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Basel has generous resources for genomic analysis (scientific high- performance computing, data management, training and support). Furthermore, our Department of Environmental Sciences offers a
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publicly available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community
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Departments and Centers: Molecular and Cellular Physiology Postdoc Appointment Term: 1-2 years, renewable based on satisfactory performance. Appointment Start Date: Flexible Group or Departmental Website
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 hours ago
Qualifications: Expertise in the development of seismic processing algorithms, high-performance computing, and/or large-scale inverse problems; Experience in developing open-source software and a track
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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full-time position as Research Associate / PhD Student /PostDoc (m/f/x) in Near-Memory Computing for RISC-V (subject to personal qualification, employees are remunerated according to salary group E 13 TV
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available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments