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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a: PhD in Deep learning for Electron Microscopy pipelines (1.0 fte) As a PhD
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knowledge of semiconductor physics, lasers, and optics. Ideally, experience in the field of transmission electron microscopy. High level of self-motivation, as well as enjoyment and skill in practical work
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workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
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, paving the way for innovations in next-generation materials inspired by nature’s design principles. The candidate will explore workflows across optical, electron, and 3D X-ray microscopy platforms, with
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the 1st of September 2025. Highly motivated and committed candidates with an interest in genome stability maintenance, 3D chromatin organisation and super-resolution microscopy technology are encouraged
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-throughput formulation pipelines will be used to fabricate libraries of QD films, which will be characterised using SAXS/WAXS, electron microscopy and atomic force microscopy. This interdisciplinary project
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-temperature laboratory experimentation and advanced analytical characterisation (e.g., micro-CT, microscopy, image analysis, structural simulation, fractography, XRD, SEM/EDS). The candidate will work alongside a team of
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involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant TZ complexes, you are expected
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electron microscopy (4D-STEM) techniques. The Research Associate will design and execute in-situ experiments under liquid nitrogen and liquid helium conditions, including developing the hardware and
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acid is known, providing the key advantage for customization for vaccination and drug delivery. The computational results will be verified by fluorescence and electron microscopy. The ideal candidate