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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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-up solutions for different management scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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. Connect the PLC layer to the higher-level Python control software through industrial communication protocols. Design and commission robotic sample transfer between processing, characterization, and
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in R or Python. Plan and support environmental sampling in production settings, including coordination collaborators. Maintain careful records and contribute to laboratory data management practices
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JETSCAPE event generator code, C++, Python. Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Salary: Compensation will be commensurate based on the
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as the Isotopylog Python package. 2 years of experience with simple maintenance and repairs on an IRMS. Scientific curiosity and ability to write scientific papers. Use of vacuum lines for gas
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. • Ability to multi-task and work cooperatively with others. Preferred Qualifications: • Proficiency in handling remotely sensed geospatial datasets and programming languages, particularly R or Python
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Proficiency in numerical analysis using finite element method (FEM) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia
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/Poaceae, trait datasets, biodiversity informatics, R, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population