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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 days ago
under operando conditions, using advanced X-ray spectroscopic techniques (XAS, XES, RXES), both in-house and at synchrotron facilities. The work will be embedded in a highly collaborative
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successful candidate will elucidate the effects of FHR protein accumulation in the outer blood/retinal barrier and its contribution to disease pathology. The generation of highly characterised in-house
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) International training and teaching opportunities Seal of quality for in-house advancement of women Family-friendly employer Subsidy for public transport University’s sports program Shopping Discounts Workplace
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, paid lunch break - depending on working hours) International training and teaching opportunities Seal of quality for in-house advancement of women Family-friendly employer Subsidy for public transport
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, DESY in Hamburg and APS in Argonne), which will complement our in-house research.This PhD research project is carried out within the framework of a broader and long-lasting close collaboration with imec
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research group (EMPMC lab), we have been pioneering the “Linear Embedding of Green’s Operators” method, which is an in-house domain decomposition method based on integral equations. This electromagnetic
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community, Rolla hosts multiple events, concerts, art exhibitions, and theater performances throughout the year. The university’s Leach Theatre showcases nationally renowned performers for campus and
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of numerical models to study acoustic and optical interactions in metasurfaces, using in-house codes and COMSOL Multiphysics software. 2. Geometry and Material Optimization: Systematic exploration of structural
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break - depending on working hours) International training and teaching opportunities Seal of quality for in-house advancement of women Family-friendly employer Subsidy for public transport University’s
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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S