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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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here You are able and willing to learn more about digital state-of-the-art methods quickly, preferably based on some previous experience, e.g., in using CAD software or a little programming Workplace
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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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means of CMOS-based high density microelectrode arrays (HD-MEAs). The overall goal of this project is to combine advanced optical methods for light-stimulus shaping with high-spatiotemporal-resolution
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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., git, AWS, etc) You are: Self-motivated and independent An experienced programmer, able to easily adopt new programming languages or software design methods for particular purposes. A good communicator
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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Photochemistry Advanced characterization techniques (e.g., synchrotron facilities, in-situ methods) CO2 capture / utilization (a plus) We are looking for highly motivated researchers with a passion for
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on