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Field
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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qualitative data analysis, case study development, survey design, administration, cleaning, and statistical analysis. Ability to use statistical analysis packages (e.g., SPSS, MPlus, or R) for data analysis and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning
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Qualifications Minimum Education and Experience PhD in genetics/molecular/cell biology field. • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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Jefferson Laboratory (JLab ), and Simulation studies & R&D for the future Electron Ion Collider (EIC ). For more information, please visit the PI's website or the group's nuclear-experiment website
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries