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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 19 days ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python
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programming expertise in at least one of the C++, C# and Python languages. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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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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techniques, high-speed imaging, experimental design, and programming for data processing (e.g. MATLAB, Python) will be considered a strong asset. LanguagesENGLISHLevelExcellent Additional Information Benefits
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data