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Field
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. • Demonstrated ability or potential to lead graduate student research. • Experience with Matlab, R, Python, C++, or Julia. • Experience collecting data from human subjects. Exempt: Not eligible for overtime
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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R documented excellent and intuitive graphical presentation of data analyses for presentation and publication excellent English language skills (speaking and writing) comprehensive presentation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with
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competitiveness in GM. AMMIC brings together world leading research facilities and expertise to stimulate new investment in research and development (R&D) to address regional and national materials and
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1703 E. Mabel St., Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy at the University of Arizona is inviting qualified applications to apply for the open positions
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palustris (R. pal). R. pal can use energy from sunlight and reducing power generated from organic compounds such as lignin to make energy-rich compounds like hydrogen and methane using the enzyme nitrogenase
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems