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., Python, R, Bash). Experience working with Linux systems. Experience working with HPC cluster environments, job scheduling systems (e.g., Slurm, PBS, Torque), as well as high-performance data processing
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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of aging and neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets including neuroimaging, genomics and other large
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neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and working closely with
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of aging and neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and
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Senior Research Support Specialist Required Qualifications (as evidenced by an attached resume): Bachelor's degree (foreign equivalent or higher) in biomedical sciences or a related field. At least
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of aging and neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a