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Your Job: Literature research on /Familiarization with the topic of tr-PL and TCSPC and perovskite PV Familiarization with the measurement equipment and set-ups Qualitative measurement of the tr-PL of charge carriers in a range of perovskite samples Qualitative TCSPC measurements for a range of...
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universities in Ukraine and to enable young scientists to contribute to the reconstruction of Ukraine and its science landscape. Who can apply? Highly qualified Ukrainian graduate students (Master's students
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benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the Jülich supercomputers (GPU/CPU
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Bachelor’s degree (B. Sc.) in Computer Science, Software engineering or a related field), and current enrollment in a Master's program Interest in AI, data science, HCI and Digital Health Practical experience
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journal (e.g., Energy Policy, Journal of Industrial Production). Your Profile: Very good academic records in your master`s studies in the field of energy technologies, mechanical engineering, industrial
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located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed qualification to enroll for the Master thesis in Physics, Chemistry, or Materials Sciences, with a good
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At the Fraunhofer Institute for Applied Solid State Physics we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain and on tailer-made synthetic diamonds. Whether...
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Your Job: Machine Learning (ML) and artificial intelligence (AI) based on neural networks are currently reshaping all aspects of society. In several areas, such as medicine, AI-based tools are already routinely used. E.g. AI-assisted medical image analysis of CT or MRI images helps to improve...
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks, graph neural networks, physics-informed ML) to approximate PF results Train models using...
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Sustainable Development Goals of the United Nations. As an institute of the Fraunhofer-Gesellschaft, we show how to not only master challenges, but grow with them. We push boundaries, think ahead and shape