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methods for photocatalytic membrane development. The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and
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Evaluation and modeling of the influence of water on the energy transition This doctoral thesis offers you the opportunity to actively participate in the development of solutions for sustainable energy and
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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sensor fusion in close collaboration with industrial and university partners. Additionally, it includes supporting project applications and contributing to the Chair's development initiatives. The position
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral
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Operations Management (75% TVL-E13), jointly supervised by faculty from University of Oxford and Technical University of Munich (TUM). Institution: University of Oxford & Technical University of Munich
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16.05.2025 Application deadline: 06.06.2025 The Bacterial Metabolomics Group of the Cluster of Excellence "Controlling microbes to fight infections" at the University of Tübingen advertises a PhD