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best practices in research assessment in our recruitment processes here . For further information, please visit our web page or contact the EMBL Graduate Office .
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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this by developing state-of-the-art hydrodynamical simulations of dwarf galaxies. The successful candidate will then compare the predicted properties of star clusters and dwarf galaxies against data from
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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data storing and analysis (including AI). Requirements: A Bachelor and Master Degree in Nanoscience and Nanotechnology, Biotechnology, Chemistry, Materials Science or similar. Knowledge and Professional