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Field
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for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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The Alexander von Humboldt Foundation and the Fraunhofer Gesellschaft jointly present up to three Fraunhofer-Bessel Research Awards a year. This science award honours internationally recognised academics working
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deadline Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Research School of Advanced Photon Science (RS-APS
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collaboration (neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic engineering, physics or related fields Strong skills in mixed-signal circuit designs (TIA, ADC, …) and
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submitted in English or German. Programme duration 9 semesters or more Beginning Winter and summer semester Application deadline 15 November for the summer semester 15 April for the winter semester Tuition
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skills by covering the costs of one preparatory language course in German as a Foreign Language ("Deutsch als Fremdsprache", also known as "DaF"). Programme duration 6 semesters Beginning Only for doctoral
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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