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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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analysis software (e.g., Atlas.ti, MaxQDA, SPSS) Excellent command of at least two of the following languages: Luxembourgish, German, French (both written and spoken); proficiency in English is an asset We
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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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computational outputs such as code repositories or software tools) The selection committee reviews all applications as soon as possible after the application deadline. As soon as a decision is made, we will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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-reviewed journals Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can biologically interpret results and relate to breeding decision making
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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, immunoblotting, and confocal microscopy is essential. • Proficiency in statistical software/programming knowledge, such as GraphPad, R, Python, MATLAB, etc., will be advantageous. • Experience in
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demonstrable outputs. Knowledge and experience with data analytics and the capability to quickly learn new hardware/software techniques. Ability to independently organize his/her own work, to solve problems
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management and analysis, preferably with health data or in a clinical setting. Strong technical skills in statistical programming, including with R, Python or other software for interrogating data. Ability