132 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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on the project is available at: https://www.fz-juelich.de/en/ibi/ibi-3/organization/neuroelectronic-interfaces-nei Your Profile: Applications are welcomed from candidates with a M.Sc. degree (or equivalent
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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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calculations of cross-sectoral raw material demand. Your analysis will be conducted using the institute’s in-house energy system framework FINE: https://github.com/FZJ-IEK3-VSA/FINE . Specifically, you will
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programming, preferably in Python You have successfully acquired and managed third-party funded projects and have a track record of publications in recognized, peer-reviewed journals You have already taken
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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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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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, with a strong background in solid state physics, quantum magnetism, surface science, and/or nanoscience Experience with scanning probe microscopy and programming in Python Hands-on experience with ultra
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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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/en/judocs