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Field
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. • Knowledge of ecology and 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
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field 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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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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engineering. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American
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-Year Scholar Program participants. DEPARTMENT SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES*: ¿ Familiarity with IRB processes and ethical conduct in human subject¿s research ¿ Proficiency in biomedical
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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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related disciplines Research experience in use of hydrologic models Demonstrated experience with field monitoring of hydrology or soil parameters Demonstrated excellent written and oral communication skills