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Field
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Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work
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hardware R&D and data analysis is highly desirable. To Apply: South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package including
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages
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development of an open R&D playbook—freely accessible to researchers worldwide—to accelerate the discovery, maturation, and deployment of scientifically validated microbial biofertilizers. DTU is coordinating
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. Expertise with R and Linux shell is essential. Python experience preferred. Does this position have supervisory responsibilities? No Preferred Education/Experience Statistical genetics, genetic epidemiology
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Excellent skills in statistical modelling, preferably using R Proven track record of publishing in international peer-reviewed journals as first author Willingness to conduct fieldwork and participate in
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| Physical Medicine and Rehabilitation Post Doctoral Researcher to pursue continued human subjects research experience and training within the Department of Physical Medicine and Rehabilitation (PM&R
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical