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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
of the following programming languages: Python, Perl, R, Java, C. Candidates must have experience analyzing high-throughput sequencing data from functional genomics experiments such as RNA-seq, ATAC
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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2026 is acceptable. Strong quantitative background with demonstrated proficiency in Matlab, or in another programming language, such as R or Python, with motivation to learn Matlab. Ability to work
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supervision The following experience will strengthen your application: Advanced coding skills (Python, R, etc.) Expertise in GIS and data visualisation. Experience applying Machine Learning, particularly
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‑on experience in single‑molecule microscopy, skills in optics or photonics, and proven ability in developing software for imaging analysis, particularly using Python. Your ability to work independently while
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genomics approaches. Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration. Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer
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synthesis, cell culture, molecular biology, data analysis (e.g. R or Python coding experience), and/or proteomics. Application Requirements Document requirements Curriculum Vitae - Your most recently
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in (computational) Bayesian methods and statistical learning for high-dimensional data is
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
system and its components. ISSM is a modular C++ codebase with MATLAB and Python interfaces, designed to simulate Cryosphere, Solid Earth, and Sea Level processes, either in coupled or standalone