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), Excel (VBA and macro automation), SQL, and Python. Assist with data analysis and preparation of results (tables and charts) for presentations, publication, or reports including internet distribution using
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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics
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following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t1.pdf The base salary range, from the salary
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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Job Purpose The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https://www.crukscotlandinstitute.ac.uk/, working with Principal Investigator, Dr Stephen
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous
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at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in