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developed methodology Quantifying monetizable non-energy benefits of residential building weatherization Create analysis tools in MS excel, python or similar language, as needed, to demonstrate and apply
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publications in peer-reviewed journals, demonstrating a commitment to scientific excellence and innovation. Experience with data analysis pipelines, programming (e.g., Python, R), and bioinformatics software
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite
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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
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fatigue testing of metals Skills in in situ testing, FIB sample preparation, and image/data analysis tools (e.g., DigitalMicrograph, ImageJ, Python/Matlab) are beneficial. Strong understanding
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. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
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structured programming language, ideally python, and should have good experience in the analysis of photometric and spectroscopic data of exoplanet atmospheres. The projects will involve the use, modification
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following programming languages; SAS, R, SQL, or Python. Prior publication of peer-reviewed manuscripts in reputable journals. Strong written and interpersonal communication skills. Ability to work
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Python, R, MATLAB, or Perl Excellent written and verbal communication skills in English, along with a collaborative mindset Career development opportunities Dr. Chiu has a proven track record of securing
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/. Position Overview: We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including experience with