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Field
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in scripting and/or compiled languages Familiarity with Linux/Unix environment and compute clusters Strong oral and written communication skills Good organizational, communication and interpersonal
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skills (ideally MATLAB and/or Python) • Strong experience in preprocessing and analysis of brain MRI or MRS • Skills working with big data and statistical analysis a plus • Working in Linux
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. Experience with server computing in the Linux environment. Responsibilities Research Under general supervision, conducts research into their field of expertise. Utilizes knowledge and skills granted to them by
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, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially
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; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods; Advanced knowledge of large-scale application and/or
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preferred. Proficiencies with at least one major neuroimaging software suite (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome Workbench, etc.) and Unix/Linux environment are expected. Familiarity with
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Parkinson’s disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also
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algorithm, magnetic resonance (MR) image analysis, Unix/Linux Shell programming, FSL, SPM, AFNI, C/C++ programming is preferred. To Apply Please email a detailed CV, along with a brief description of relevant
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Parkinson’s disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also