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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
and functional materials while sharing a common scientific philosophy: using computational modelling to uncover the microscopic mechanisms underlying complex phenomena. The positions are embedded in two
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mathematical tools for understanding the connection between microscopic particle dynamics and macroscopic continuum descriptions. Funding notes: For UK and EU candidates: Funding may be available through a
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, and a 100 keV Tundra cryo-TEM. We have regular access to the 22-ID beamline at the Argonne Photon Source for X-ray data collection, as well as to a Titan Krios microscope equipped with a Gatan K3 camera
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systems based on superconducting microwave circuits and cryogenic noble-gas crystals. By understanding and controlling microscopic loss mechanisms at the interface between superconductors and cryogenic
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of either a spatial light modulator (SLM) or a deformable mirror to compensate for these residual aberrations. The resulting adaptive optics system will then be validated on the ChroMS microscope
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facilities for biophysics (including TIRF and confocal microscopes, SAXS etc.) Collaborative research environment & career development opportunities How to Apply: Send a single PDF to [email protected]
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
for microscopy, operating fluorescence microscopes and computational analysis Desired: experience with light-sheet fluorescence microscopy Mandatory: good command of English What we offer: Working in a highly
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fluorescence microscope optimized for imaging individual cells within microtumors. Through this work, the PhD candidate will receive hands-on training in the design, implementation, and optimization of a state
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, Potentiometric Titration). Recover and characterize carbonate minerals formed during freezing using mineralogical and microscopic technique. Develop and parameterize a predictive kinetic framework using time
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microscope, which has allowed us to demonstrate top-down integration in photonic devices. The thesis is part of ANR project starting in 2025, which builds upon recent experimental demonstrations from the host