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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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hydrogen detection: development of a field-deployable electrochemical method, benchmarked against lab-based approaches. Area 3 (Contact Person Dr Andreas Borgschulte ) Hydrogen permeation in model systems
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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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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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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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. 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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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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having a high degree of independence. Your profile A PhD degree in Civil Engineering, Materials Science, Chemistry, or a related field, as well as strong management and communication skills are required
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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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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