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Programming skills (e.g., R, Python, MATLAB) are a plus. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human
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professional experience as a Postdoctoral Researcher Strong computational background with proficiency in R and at least one additional scripting language, e.g., Python Solid knowledge of biostatistics Experience
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journals; (c) experience or interests in programming languages such as R or python; (d) willingness to work with HIV+ samples following BSL2+ procedures; (e) willingness to work with mouse models; (f
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Conduct laboratory experiments at the Magnetized Plasma Research Laboratory, a premier plasma science multiuser research facility Develop, run, and analyze data using Python and molecular dynamics
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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including
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, Statistics, Mathematics, or related fields. Proficiency in R and/or Python programming. Strong written and oral communication skills, demonstrated by peer-reviewed publications and conference presentations
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
research for full-stack production system that includes Python/FastAPI, MongoDB, and a TypeScript/React client; (2) apply AI and machine learning to a challenging real-world problem; (3) gain knowledge