571 programming-languages-"the"-"CNRS"-"U"-"Humboldt-Stiftung-Foundation" Postdoctoral positions in United States
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Field
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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energy-related research challenges in the Greater Permian Basin region. This position will support the State of Texas Advanced Resource Recovery (STARR) program at the Bureau of Economic Geology (BEG
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disciplines. Training and experience in scientific research in greenhouses and growth chambers Ability to plan and conduct research independently Excellent written and oral communication skills Ability to work
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. Proficiency in numerical analysis. Proficiency in one or more programming languages. Strong written and oral communication skills. Ability to work independently and collaboratively within a research team
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mechanics and/or voiced speech production. Preferred Qualifications Ph.D. in Mechanical Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language
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programming languages is highly desirable. Theoretical and technical knowledge of the research subject matter; demonstrate the ability to independently form hypotheses; design and perform experiments; develop
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and