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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 10 days ago
sequencing and/or GWAS datasets Experience in data visualization Knowledge and experience in bioinformatic programming using Linux, R, and Python Excellent analytical, organizational, and problem-solving
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programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial intelligence (AI), machine learning, or data
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computing (Linux) environments, including shell scripting. Strong programming and data analysis skills (e.g., Python, Fortran, R). Demonstrated ability of scholarly output (peer-reviewed publications and
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, SimpleITK, MONAI, or nibabel), knowledge of Linux, Git, virtual environments and containers (Docker), and experience in training models on GPU in secure environments are required. Languages: Oral and written
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language. Working knowledge of UNIX or Linux. Preferred Knowledge, Skills, and Experience Experience with machine learning and accelerator operation. Experience working with complex algorithms. Experience
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
must have strong foundation in statistics, including multivariate statistical analysis and appropriate validation of quantitative models. The candidate must have experience working in Linux or Unix-based
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discipline. They should have strong computational skills, including experience with UNIX/Linux and programming in Fortran, Python, or other high-level languages. Candidates should also demonstrate the ability
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, pandas, scikit-learn), Linux, and Git. Proven ability to develop well-documented, maintainable research software and manage experimental datasets. Strong publication record relative to career stage
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demonstrated through research experience and relevant publications. Candidates with demonstrated experience of working with fMRIprep pipelines will be given higher preference. Familiarity with Linux Operation
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approaches for learning from molecular or physical systems. Ability to develop reliable research software in a Linux environment using version control, testing, documentation, and reproducible computational