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Field
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, accessibility, or universal design. Experience with AR/VR tools, programming/coding (Python, R, Unity, or JavaScript), or community-engaged research. Experience working in interdisciplinary teams and multi-site
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with primary data such as household surveys, national agricultural datasets and/or census data. · Proficiency with Stata and/or R · Experience in quantitative econometric research design and data
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UNIX and Python. (R experience is welcome but secondary.) Previous experience in NGS data analysis and genomics pipelines. Prior first-author publications. Strong problem-solving skills and scientific
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the newly initiated Subaru Hyper Suprime-Cam (HSC) medium-band (MB) survey. The HSC/MB filters cover the 400-1000 nm range with 16 bands (R~20), and will be used to conduct a large 3-tier survey (wide
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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Proficiency in R, Python, or MATLAB Experience with neuroimaging data analysis Willingness to learn new techniques and skills Ability to independently design and conduct experiments Willingness to think
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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling
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, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring