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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI
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to work with a diverse population of faculty, staff, and students. Experience with JAVA, Python, Computer Organization or Discrete Structures is also preferred. Online course instruction experience and/or
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interdisciplinary collaboration, have a demonstrated knowledge of Midwestern agroecosystems, and have direct experience collecting, managing, and analyzing field data using R, Python, or similar tools, as
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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approaches using R/Python. Provide general research support to assist laboratory researchers with experiments on an as-needed basis. The applicant is required to be familiar with primary cell culture, single
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, PowerPoint etc) is required Computer programming and data analysis skills are a plus (R, python, SQL, Excel, SPSS etc). Strong communication skills Recruitment process Internship opportunities: We encourage
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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Coding in any one of the languages (Python, NodeJS, Typescript etc.,) Recruitment process Internship opportunities: We encourage students to review the posted COACH internship opportunities and to apply