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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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-effectiveness of strategies for preventing long-term central venous catheter-related infections in oncology services. Responsibilities include data analysis using Python and R, health economic evaluations
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Research Associate, Cellular and Molecular Medicine Posting Number req27032 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 17 hours ago
. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label