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focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. The Department of Medical Parasitology and Infection Biology (MPI
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-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply. Applicants should hold a doctoral degree, or are expected to hold one
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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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 human tissues. These gaps hinder the development of physiologically relevant laboratory models for...
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Deadline 19 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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(R2) Country Switzerland Application Deadline 27 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
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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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and computational resources, and close collaboration with leading academic and industrial partners. Empa supports professional development, networking opportunities, and a healthy work-life balance in a
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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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