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Your profile We are looking for talented candidates with a doctoral degree and a background in microbial ecology, forest biology or something similar. Candidates are expected to have experience in fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest...
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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of advanced planning and energy management solutions that enhance self-consumption by intelligently controlling PV systems, batteries, electric vehicle charging, heat pumps, and thermal storage. Beyond
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle challenging diseases. The successful
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human tissues. These gaps hinder the development of physiologically relevant laboratory models for drug discovery. As part of the Swiss research network http://www.nccr-antiresist.ch/ , the Bumann lab
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disease mechanisms and neural biomarkers of disease progression. Our research integrates findings from model systems with translational human studies (e.g., using MEG/EEG), in close collaboration with
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benefit from close collaboration with leading experts in chemical synthesis, advanced characterization, and atomistic simulations. Located in the Zurich Area, Empa offers outstanding infrastructure, a broad
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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Biljecki (National University of Singapore). Your key responsibilities will be: 1. Co-developing the research of work package 1. This work includes, a.o.: Developing deep learning models for the project’s