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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 5 days ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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, Python, Stata, or other statistical programming environments Strong interest in research related to ultra-processed foods, addictive processes, eating behavior, or food policy The salary range is $65,000
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epidemiology, policy research, or interdisciplinary public health research is highly desirable. Experience with R, SPSS, Python, Stata, or other statistical programming environments Strong interest in research
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analyzing the subseasonal-to-seasonal variability of the climate system; Demonstrate experience in Python code development; and Knowlege of programming skills including Python code development. Preferred
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with the programming languages Python, Matlab, or LabVIEW. Strong oral and written communication skills. Application Instructions Please upload the following with your application: - CV/Resume
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with