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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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following areas: privacy, security, cryptography, data analytics, and machine learning. Other skill sets required for this position include ability to code in Python, excellent oral and written communication
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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Abilities Demonstrated experience working with large datasets, preferably in healthcare or life sciences. Excellent programming skills (e.g., Python, MATLAB, R). Must pass employee health clearance, TB Test
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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computational and statistical approaches. Develop, implement, and maintain reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation
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, 3D design/printing, and building rodent behavioral apparatus. Familiarity with FED3 rodent behavioral devices. Proficiency in Python for data analysis. Familiarity with Bonsai workflows for data