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of the developments done in the context of this project. As such, it defines requirements and provides feedback on the outcomes. The advertised position is funded by EUMETNET (the European Meteorological Network
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to engineer human cells and develop advanced gene and cell therapies targeting cancer, as well as metabolic, neurodegenerative, autoimmune and infectious diseases. For more information, please consult our
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handle working time flexibly so that you can take time to prepare for exams or fulfill other study obligations. Profile Current master's student Languages: English (Knowledge of Spanish is a plus) Very
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. This PostDoc position aims to (1) design and manufacture microneedles following up on our previous development (Cell Biomaterials, Volume 1, Issue 1, 100008), and (2) investigate the penetration of skin tissue
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fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
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Development of Machine Learning for Molecular Applications – Molecular Machine Learning” (SPP 2363 ) and will involve tight collaboration with the group of Prof. Dr. Frank Glorius from the University of Münster
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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). For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education
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in screening technologies, assay development, complex cell systems and lab automation. Our projects range from biochemical screens to combinatorial chemical synthesis to sophisticated screening assays
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of Riccardo Catena at Chalmers University. The overall goal of the project is to develop, numerically implement, and apply a theoretical framework to accurately describe the expected dark matter-induced