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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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, robotics, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral
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with modern web development stacks (e.g. JavaScript/TypeScript/Python, HTML/CSS, Node.js/Django, containerisation, CI/CD pipelines) including the ability to write and advocate for maintainable and well
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, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB, Mathematica, Origin, or COMSOL Multiphysics. Background in superconductivity, magnetism, thin films, surfaces and
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, such as cloning, RNA isolation, and PCR or qPCR. Exposure to fluorescence-based measurements, such as flow cytometry or microscopy. Wet lab experience. Basic data analysis skills using Python, R
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, such as Python or BASH, to automate systems administration and improve service delivery. Experience designing, deploying and operating containerised computing platforms using Kubernetes or equivalent
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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along with experience in bioinformatic or population genomic analyses, including processing high-throughput sequencing (NGS) datasets. Strong programming skills (e.g., Linux/Bash, R, Python) and
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production-grade software using modern programming languages such as Python, C/C++, Rust, or JavaScript. Integrate software systems with autonomous vehicle simulation environments and standards, including