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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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Course location München Description/content About LMU Munich LMU Munich is one of the leading research universities in Europe, with a tradition of more than 500 years. More than 800 professors and
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-based metadata platform that you will help develop. In collaboration with stakeholders from energy research, you will develop methods to increase data and software interoperability, enabling the automated
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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
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, degree certificates) in a single PDF to the head of the Chair group, Professor Johannes Sauer (jo.sauer@tum.de ). The positions will remain open until filled , with applications reviewed on a rolling