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communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer
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offers bachelor's, master's, and doctoral degrees. Research interests of faculty members include core areas of pure mathematics, applied mathematics, information and computational science, and statistics
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-tracking, and psychophysical experimental design, MRI data collection in a 3T Siemens scanner or equivalent, analysis of MRI data (SPM, FSL, or equivalent), statistical analyses in MATLAB, R, Palamedes
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good understanding of biomedical signal processing Proficiency in Python coding Knowledge of statistics and physiological signal analysis Good understanding of photoplethysmography and Near-infrared
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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; microscopes. Proficiency in Microsoft Office (ex: Word, Excel, PowerPoint), knowledge of statistical software, array analysis software preferred. Must demonstrate willingness to learn new techniques, procedures