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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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, cognitive frailty, and biomechanics. Data collection from hospitals: Robert Wood Johnson in New Brunswick and/or University Hospital in Newark Data Post-processing Programming (using MATLAB or Python) Publish
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collection from hospitals: Robert Wood Johnson in New Brunswick and/or University Hospital in Newark Data Post-processing Programming (using MATLAB or Python) Publish journal articles. Presentation of research
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collection from hospitals: Robert Wood Johnson in New Brunswick and/or University Hospital in Newark Data Post-processing Programming (using MATLAB or Python) Publish journal articles. Presentation of research
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skills in MATLAB and/or Python. Solid background in experimental design, statistics and scientific writing. Willingness to work in a clinical research environment. Excellent time-management, written and
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machine learning on transportation and smart cities analysis. Provides GIS and programming support primarily in R for advanced statistical modeling and Python, where necessary. Carries out literature review
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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills
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for the bioinformatics/computational position should have robust experience in coding, in particular with Python, as well as the ability to undertake basic coding projects independently, with some guidance from the PI
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Science, Data Science, Aerospace Engineering Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in Python, Machine learning, and Uncertainty Quantification in engineering
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technologies utilized by EI. Maintains current knowledge of scripting languages (Shell, Python, Perl, etc.). Understands and adheres to Rutgers’ compliance standards as they appear in RBHS’s Corporate Compliance