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skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
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, R and Python for analysing large scale data sets; Ability to review literature and search data sources; perform data work requiring great accuracy and attention to detail; Ability to interpret and
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primary responsibilities will include cleaning and organizing raw image data, generating annotations, and implementing preprocessing pipelines using Python and OpenCV. You will also help construct and
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experience in using statistical programming languages (eg R, Python). · Experience in generating publication-ready images for peer-reviewed manuscripts. · Experience in building, maintaining or using databases
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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§ Clinical metadata harmonization across cohorts § Integration of clinical and multi-omic microbiome data. § Experience with Python/R and cloud computing preferred Ideal candidate: A computational
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Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive workforce and is committed
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R