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sciences, engineering, related technical area Demonstrated ability in Python or similar abstract language. Demonstrated knowledge in one or more of the following areas: machine learning, high-performance
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a thorough understanding of object-oriented programming concepts, data structures, and algorithm performance analysis. Experience with C++ and Python. Experience with Unix/Linux operating systems and
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and scripts in a Linux environment using C/C++, Python, and Bash. Create supporting documentation for software and systems. Maintain and test new and legacy code. Participate in data collection
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, predictive analytics, agent-based modeling, spatial data, and network data. Proficient in R, Python, Julia or other data science focused programming Experience with relational databases and SQL programming
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environment using C/C++, Python, and Bash. Create supporting documentation for software and systems. Maintain and test new and legacy code. Participate in data collection exercises, data management, and
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coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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/or Python in a UNIX/Linux environment. Demonstrated experience developing GUIs using Java, Python or other widely available toolkits; and/or demonstrated experience with scientific computing
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science or other applied/information sciences. Demonstrated experience developing software using Java and/or Python in a UNIX/Linux environment. Demonstrated ability to comprehend, define and document complex
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. Multiple postdoctoral fellow positions are initially available, and candidates are strongly encouraged to review Preferred Qualifications to determine which position is best aligned with their skills and