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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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a data science capacity Proficiency with Python, C++, Julia, Rust, or other major programming language. Below are seen as merits Advanced degree (PhD) in a relevant field Scientific expertise in
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, Raspberry Pi, Python, C/C++) Interest in microscopy, surface science, vacuum systems, optics, or beamline instrumentation is a plus Safety-minded and conscientious with experimental procedures. What you get A
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, including familiarity with SAXS data-reduction programs. Experience working with macromolecular x-ray crystallography. Familiarity with programming languages such as Python, as well as Unix-like operating
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diverse operating systems; Skills in scientific programming (e.g. Python, MATLAB) and the application of advanced data visualization techniques; Very good command of Polish and English, both written and
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Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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with quantitative data analysis using R and/or Python Demonstrated skills with qualitative research Demonstrated skill in project management and scientific project coordination • Proficiency in Swahili
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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred