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experience with time-series data analysis and machine learning including reinforcement learning. Applicants should be proficient in Matlab and/or Python Point of Contact ARL-RAP Eligibility Requirements
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Experience in Linux and computational languages including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and
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programming languages (including both MATLAB and Python) is preferred. Candidate should be motivated to learn new skills and research independently and as part of a team. Background knowledge in coastal
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audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
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: Build reproducible workflows, functions, and R or Python packages; develop visualization tools and open-source applications; and share code through collaborative platforms such as GitHub. Scientific
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or Masters of Engineering degree. Candidates are expected to be fluent in electrical circuit design, microcontroller programming, optical design, and Python programming. Introductory (or higher
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interpretation through deep learning model development using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing
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Nanopore MinIon platform. Conducting analyses using the most state-of-the-art software and bioinformatics tools. Programming experience using Linux, Python, R. Broadly speaking, you will have the opportunity
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- experience with common tools QIS, Mapbox, Open Streetmaps • Demonstrated experience with R or Python • Demonstrated experience linking various socio-economic, health, and transportation datasets • Strong
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. Experience in statistical packages (SAS), R, Python, or similar programming skills. Point of Contact Janeen Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree. Discipline(s