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integration of novel methods for replacing animal testing. The project involves collaborations with several leading European research groups and experts in the field. The Postdoctoral researcher will perform
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motivated Postdoctoral Researcher to join an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid deposition and automated multi-technique characterization. Within the Swiss-Polish innovation
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development X-ray based methods focusing on the evaluation of the structure – property relationship in applications such as biomedicine and space. In the frame of an ESA project interfacing research and
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to develop a research project that fits into the broad scope of bacteria-jumbophage interactions PhD or equivalent degree with ideally a strong component in any of the following areas: microbiology
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the development of theoretical or computational methods for quantum many-body systems, quantum computing, or machine learning. Strong leadership skills. Ability to collaborate and establish positive interactions
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conventional methods. By combining advanced experiments with collaborations in theory and modeling, our research aims not only to deepen the fundamental understanding of ferroic systems, but also to open new
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an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our industrial partner, you will design and
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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid