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Field
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professional growth and development Specific Requirements Previous experience in crop modelling would be an advantage Programming skills – preferably in Python Experience or knowledge in crop physiology and soil
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, critically-thinking, self-motivated, flexible, and enjoys working in a team Desirable but not required: Programming experience, preferably in Python or R, and experience in the Linux environment Experience
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histopathological evaluation Statistical programming languages like R or Python Good communication skills in English; proficiency in German desirable but not required Willingness to work independently while
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, Biomedical Imaging, or a related field A strong interest in molecular imaging (PET) and magnetic resonance imaging Experience with programming (Python, C++, Matlab) A keen interest in experimental work, as the
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technology, quantum optics, photon detection and characterization, data analysis/processing Scientific publications relevant to the position description Computational skills (Python, Matlab, Mathematica
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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You have an experience in scientific programming using Python for data analysis You can integrate easily in an interdisciplinary research team and have great communication skills Additional Information
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positive community; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C, C++, Go, Fortran, Rust). Experience in Julia is a plus
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based