74 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions at Forschungszentrum Jülich in Germany
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quantum information Experience with programming, preferably with Python Fluent speaking and writing skils in English Team-oriented and highly motivated to work in an experimental laboratory A background in
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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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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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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experimental and laboratory work Experience with programming in Python Fluency in speaking and writing English Previous experience with scanning probe microscopy would be an advantage Our Offer: We work on the
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, catalysis studies - in particular electrocatalysis and Python programming Experience within the following fields is highly beneficial: Transmission electron microscopy, Electrochemistry, Image analysis, Big