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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
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Your Job: Among other applications, optimal control theory has proven its utility for the optimal calibration of quantum gates early on and has since been used routinely in experiments
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below 30 mK and allow the application of magnetic fields to the sample. We characterize the magnetic properties of the quantum systems using standard spectroscopic detection schemes and electron spin
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Your Job: Analysis of possible applications of CO2 capture and CO2 utilization in the energy system requires detailed techno-economic modelling of these technologies. A major focus of this doctoral
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modeling is advantageous Good programming skills (e.g., Python) High degree of independence and willingness to show great commitment Very reliable and conscientious work style Fluent written and spoken
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(STEM) and TEM in order to advance our understanding of vitrified biological specimens. Develop novel methods for the application of cryo-(S)TEM methods to biological specimens including the operation of
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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Day) Opportunity to develop your strengths, e.g. through a comprehensive training programme; a structured programme including continuing professional development and networking opportunities
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in