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Field
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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, including genomic, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC
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numerical methods, high-performance computing (HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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-performance computing and/or large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods
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, biostatistics, data science, and related fields. Experience with human genomic data analysis. Professional programming skills, experience with high-performance computing, and cloud computing
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discipline. ● Experience: ○ Expertise in computational science ○ Proficiency in Python ○ Experience with high-performance computing (HPC), with GPUs preferred ● Related Skills and Other Requirements
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in
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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at
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particular, we value academic excellence and/or a proven record of scientific achievement, combined with the ability to develop original ideas, build high-performance experimental setups, demonstrate