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neurological disease models. Familiarity with neuroscience techniques and CNS biology. Experience with advanced microscopy and imaging techniques. Programming skills in R, Python, or MATLAB. Prior experience
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Knowledge, Skills, and Abilities The applicant must have strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing data from these experiments using robust computational
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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Python/R and Linux/UNIX, or expertise in structural variant analysis with motivation to upskill computationally. Experience in cancer genomics/epigenomics and high-throughput sequencing. Proven track
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability