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communication skills. Good ability to cooperate. Very good knowledge of English, spoken and written. Good programming skills in Python and/or C++. Other qualifications For the doctoral programme in question
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results
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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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or python to generate plots and analyze data. Qualifications Requirements for employment are: - You have deep knowledge of regenerative biology including dedifferentiation. - You have experience working with
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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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Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
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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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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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required. Familiarity with analysis of transcriptomic data, including work in R, Python, or similar environments, will be considered a strong asset. The key requirement is the ability to take ownership
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a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and