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Field
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are confident in object-oriented programming, preferably in Python You work independently, strategically, and solution-oriented, and demonstrate a high degree of independence and willingness to show
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-oriented way of working A distinct advantage would be: Experience with data analysis and scientific programming (e.g. Origin, Igor Pro, Python, Matlab, Mathematica) A good command of written and spoken
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skills by covering the costs of one preparatory language course in German as a Foreign Language ("Deutsch als Fremdsprache", also known as "DaF"). Programme duration 6 semesters Beginning Only for doctoral
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qualifications: a MSc degree in oceanography, fluid mechanics, geosciences, physics, mechanical engineering or related disciplines programming skills in one or more languages (Matlab, Python, R, C, Fortran
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and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and
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holidays and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education
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structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de
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Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
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field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way