431 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"Prof"-"CeMEPI-PGE" PhD positions in Germany
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- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
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- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Dresden University of Technology
- Dresden University of Technology •
- Dynamic Spectroscopies Group, Technical University of Munich (TUM)
- EBS Universität für Wirtschaft und Recht •
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- Hertie School •
- Humboldt Universität zu Berlin / Leibniz Universität Hannover
- Institute of Ophthalmic Research, Center for Ophthalmology Tübingen
- International Max Planck Research School for Living Matter
- Johannes Gutenberg University Mainz
- Johannes Gutenberg University Mainz •
- Julius-Maximilians-Universität Würzburg •
- Karlsruhe Institute of Technology •
- LMU Munich
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
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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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, System Verilog and programming by using Perl or Python Preferably circuit and layout design experience in Cadence Virtuoso, Tanner EDA or any other full-custom design tool Strong problem-solving and
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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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working with wafers and microtechnological processes, such as photolithography, inkjet, and screen printing, galvanics. You plan and carry out tasks independently and with high quality. You find it easy to
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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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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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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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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