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: Bachelor’s degree in biology, computer science, engineering, or a related field and at least 4 years of experience experience working with NGS data (RNA-Seq, etc). Strong programming skills in Python and/or R
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performance skills, service mindset approach, and the ability to act as a trusted advisor. Experience with Python / TypeScript and familiarity with Svelte / React preferred. Certificates and Licenses
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Oceanography or a related field is required by the time of appointment. Experience in analyzing hydrographic, velocity, and other oceanographic data (including programming in Matlab or Python) is highly
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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for the creation and recording of test plans Experience with Campus Solutions or another large Student Information System Experience with python coding experience is a plus Knowledge of information
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computer science, data science, information science, or a related field. Demonstrated experience with social media data analysis, including the development of classifiers. Proficiency in Python and R, along
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; • Familiarity with Python a plus; and • Masters or doctorate degree strongly preferred. • Familiarity with Python a plus; and • Masters or doctorate degree strongly preferred. Additional Information
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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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Familiarity (hands-on knowledge) with data manipulation tools and languages such as R, STATA, SQL, Python, or MATLAB strongly preferred. Familiarity with a variety of research methodologies such as lab