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Field
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languages such as SAS, Stata and/or R. There is funding available for these positions for up to two years, however, the appointment will be reviewed and renewed on an annual basis. These are in-person
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language (e.g., R, C/C++, Java) Proficiency with MS Office and/or Google Suite, particularly Excel/Sheets Strong verbal and written communication skills Ability to work independently and interact effectively
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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R and other statistical languages. Ability to apply quantitative methods to answer ecological questions or hypotheses. Record of success conducting research and scholarly activities, including
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, with guidance from supervisor. May orient and train new staff or students. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with MATLAB, Python, R, or similar. Experience
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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of Nuclear Science invites applications for a postdoctoral research position. Our group has leading roles in the sensor design and the R&D for the test and characterization of novel wafer-sized 65nm stitched
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. Programming expertise in R/Python/MATLAB is essential, and some knowledge of C/C++ will be preferred. Candidates with demonstrated accomplishment in academic research, as can be judged from published papers
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studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs