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Field
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. Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph Significant experience using C++ for numerical computing applications
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading
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environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
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preparation and grant development. Experience with statistical genetics, bioinformatics, genomics, or computational biology. Experience using high-performance computing and/or cloud computing
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• Familiarity with Cesium, 3D Tiles, or geospatial streaming frameworks • Experience preparing geospatial assets for real-time or simulation environments • Background in distributed or high-performance
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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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integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will
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datasets to uncover microbiome–host interactions Strong statistical skills in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
as Fortran or C/C++. Familiarity with linear/nonlinear solvers, 2D/3D unstructured gridding, and high performance computing is welcome. Candidates with good publishing record will be given preference.
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cryo-electron microscopy, molecular dynamics, and structural biology * high performance computing and open source software libraries (For more information about CCM research areas and scientific staff