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related to Earth Science, Polar Science, Glaciology, Climate Science or Civil Engineering Preferred Qualifications experience in data compilation and analysis experience with large dataset (observations
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related to Earth Science, Polar Science, Glaciology or Civil Engineering Preferred Qualifications experience in data compilation and analysis experience with large dataset (observations or models
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Qualifications Doctoral degree in an area related to Earth Science, Polar Science, Glaciology, Climate Science or Civil Engineering Preferred Qualifications experience in data compilation and analysis experience
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to ensure precise interpretation of findings and decisions on follow up experiments; 6) compilation of research findings to scientific presentations and publications. The postdoctoral fellow will have
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members including presenting research findings in lab meetings.. Compile, analyze, and/or interpret research data using various relevant computer software applications such as Excel, Graphpad Prism, MATLAB
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developments in commercial reagents and techniques. · Compile and document results, maintain lab notes, and assist in writing reports and research manuscripts. · Prepare culture media, reagents and solutions
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of the Environment to support the development of the ELTI-Rwanda capacity development program. The postdoctoral associate will compile, interpret, and synthesize research on applied forest ecology and silviculture
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personal characteristics You have a strong sense of responsibility, maintaining a clean working environment You can accurately compile and document experiments (using an ELN) You have a no-nonsense can-do
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. Under direct supervision of the Principal Investigator, generates, compiles and presents data with appropriate conclusions, recommendations, etc. pertinent to research activity. Position Status Full Time
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network