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Field
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commonly used scientific scripting languages (e.g., Python, SQL, or R). We also seek candidates with good communication skills in spoken and written English, and an ability to produce state-of-the art
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Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Python and Mathematica, use of linux, git, and latex. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent
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Fluorescence, FRET, & single‑molecule microscopy Mechanobiology, force-spectroscopy Bioconjugation chemistry, nucleic‑acid chemistry Quantitative image analysis, MATLAB/Python scripting, or machine learning
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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. Python) for data analysis and graphics. Excellent data organization skills Preferred Qualifications Knowledge of and experience working with forest trees to answer contemporary questions in ecological
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Experience with signal processing, statistical data analysis, or machine learning techniques. Proficiency in scientific programming (e.g., Python, MATLAB, or similar). Ability to work independently while
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or electrophysiology, and proficiency in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and
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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices