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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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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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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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range over the past 20 years. Given the advancing threat of the EAB in central Europe, it is crucial to implement effective screening and diagnostic methods. These methods are essential for two main
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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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. The tasks will require a high degree of innovativeness, command of multi-scale asphalt and binder testing methods, as well as knowledge of the pavement design concepts. Experience in material modeling and
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transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries involved in this process. Join our young, ambitious, and
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of disease-related biomarkers, and study of organ-on-a-chip. We develop microfluid, optical and electrochemical methods in combination with microorganisms and cells to provide solutions for environmental and
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sustainable energy and chemical process systems. Our research spans from the molecular level to the scale of systems. We develop methods to advance sustainable energy and chemical process systems from
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free-electron laser (XFEL) facilities. The role will also involve sample preparation, and characterization using both standard lab-based methods (optical and scanning electron microscopy, magnetometry