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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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requirements: Very good oral and written proficiency in English. Excellent programming skills, preferably in Fortran and Python Expertise in the field of carbon cycle science and processes determining the fluxes
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advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life
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multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods, programming, etc
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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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Physical Vapour Deposition processes such as magnetron sputtering Scripting in python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will do Perform
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combining qualitative and quantitative analysis Familiarity with R, Python, or similar analytical tools. Experience with text analysis and survey methodology Knowledge of energy, climate, or sustainability
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in multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods