36 evolution "https:" "https:" "https:" "https:" "https:" "https:" scholarships at DAAD in Germany
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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with upcoming tasks and (on‑site) appointments VACATION: You will receive 30 days of vacation KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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interdisciplinary research environment, where you'll work alongside experts from fields such as engineering, data science, urban studies, and aerospace. Skill Development: Our extensive qualification concept goes
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you'll work alongside experts from fields such as engineering, data science, urban studies, and aerospace. Skill Development: Our extensive qualification concept goes beyond research, offering targeted
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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additional professor plus an international tutor of the RTG Description of the PhD topic: This PhD project focuses on the development of fail-safe, distributed digital twins (DTs) for urban air mobility
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development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following
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development and simulation environments (e.g., Python, C++, ROS, MATLAB) We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and