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toxins, as well as their native stoichiometry, assembly and maturation. To this end, a combination of methods including membrane complex reconstitution and isolation, biochemical and biophysical
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme enables academics from all over the world to undertake one-to-three-month research residencies
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on both fundamental magnetic interactions and applications for efficient energy conversion. We use element-specific methods such as X-ray absorption spectroscopy at synchrotron radiation sources and
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evaluation methods for vision models Design metrics to compare neural and behavioral data with computational predictions Collaborate with CRC groups on open, reproducible standards for model evaluation Mentor
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Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work in a radiation protection area Ideally, experience with further methods in the field of surface characterization
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
development, computational tool implementation, and validation with experimental partners. The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital