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, surrogate modeling, clustering, anomaly detection, or probabilistic modeling. Proficiency in Python/Julia/R and scientific computing/data analysis tools and related libraries. Experience working with large
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DNA from soils Carry out library preparation for long read sequencing Use CRISPR-Cas to edit genomes of common soil bacteria Establish and maintain cultures of common freshwater Cyanobacteria This role
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mixed/reduced precision into existing applications relevant to ALCF's mission Developing and maintaining tools and libraries that facilitate the adoption of mixed/reduced precision computing in
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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completed in a relevant field of study. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow