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Field
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experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in the field of working memory or a related area. Terms of employment include competitive salary
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Technical skills : - Ability to handle large datasets (hundred thousands to millions of rows) using a programming language (e.g. R, Python, MATLAB) - Good knowledge of descriptive multivariate data analyses
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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completed in a relevant field of study. Experience with deep learning (DL) frameworks such as PyTorch, TensorFlow, or JAX. Strong programming proficiency in Python. Demonstrated experience with coherent X-ray
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security, and reproducible experiments. Strong programming skills (e.g., Python/C++); ability to prototype and evaluate security controls on cloud-native stacks (Docker, Kubernetes, Helm). Records
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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communication skills Preferred Qualifications: Experience with neurorehabilitation or motor recovery research Proficiency in programming and data analysis tools (e.g., MATLAB, Python, R, SPM, FSL) Familiarity
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record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data