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EPFL FSB, MATHGEOM-GE Position ID: 1127 -POSTDOC1 [#26710, EPFL Réf.: 1645] Position Title: Position Type: Other Position Location: Lausanne, Vaud 1015, Switzerland [map ] Appl Deadline: 2025/11/01
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the idea of building global infrastructure to make pathogen sequencing more accessible, interpretable, and equitable? This post-doctoral position offers a unique opportunity to work at the intersection
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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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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other neglected tropical diseases. This position is part of a project investigating how hospital-associated environments and patient compartments contribute to the evolution, persistence, and transmission
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Your position In addition to the academic qualification at the University of Basel (i.e. habilitation or equivalent projects) through your own research, the assistant's tasks include, in particular
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Your position Bacterial infections pose a major threat to human health. However, critical knowledge gaps remain regarding the localization, properties, and host interactions of pathogens within
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. Founded in 1460, the University of Basel is the oldest university in Switzerland and has a history of success going back over 550 years. The institute invites applications for a postdoctoral position as
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the team . The position is available from 1 May 2025 or later upon agreement. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful
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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...