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biology, and mass spectrometry methods to develop capabilities for the detection of and protection from current and emerging biological threats. The fellowship is with the Research and Operations (R&O
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, STATA, R, and SPSS). Experience in conducting evidence synthesis and systematic reviews. Preferred Qualifications Work Experience: Experience with advanced analytical theories, predictive modeling, data
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are welcome. Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques. Strong programming skills in Python, R, and/or similar software. Experience working with
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/WRF-Chem, STILT) and in analyzing atmospheric observations (in situ, aircraft, or remotely sensed). Proficient programming skills (e.g., Python, R) Preferred Job Qualifications Experience in analyzing
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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of demonstrated technical knowledge of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, Jupyter Notebooks) Excellent verbal and written communication skills including
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Nanopore MinIon platform. Conducting analyses using the most state-of-the-art software and bioinformatics tools. Programming experience using Linux, Python, R. Broadly speaking, you will have the opportunity
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the last three years. Demonstrated background and productivity in trauma- and anxiety-related psychopathology research. Proficiency with statistical programming (R, Python, or equivalent). Excellent
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, etc. Related professional experience such as internships in industry or national labs, participation in visiting research programs, etc. Software development experience in C++, C, Fortran, MATLAB, R