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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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of Chemistry, Biology, Earth Sciences or related field Experience in experimental laboratory work, high motivation and initiative Willingness to work with open radioactive materials in a radiation-controlled
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command of spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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controlled molecular and solid state dynamics, molecular imaging, extreme timescale spectroscopy, ultrafast optics, and X-ray science We offer: A range of PhD positions in these areas: open positions State
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nitrogen economy and addressing one of today’s most urgent environmental and energy challenges: https://www.fz-juelich.de/de/iet/iet-1. We are offering a PhD Position – Design and Integration of Efficient
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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of Econometrics and Statistics, esp. in the Transport Sector and co-supervised by Prof. Dr. Klaus Bogenberger, Chair of Traffic Engineering and Control, TU Munich. Requirements: Excellent, very good or good
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ability to creatively apply multidisciplinary knowledge excellent command of programming and scripting languages readiness to engage in interdisciplinary collaboration at national and international level