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with the membrane contact site protein Ist2 to deliver PS to the plasma membrane. Protein structure analysis, molecular and cellular biology, genetic manipulation of yeast, fluorescence imaging
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methods. The structure will be determined by cryo-electron microscopy, and the researcher will process the images to reconstruct the structure of the protein of interest in complex with its interactants
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to build on existing initiatives in universal design and develop and implement a whole-of-university approach to Universal Design. The post-doctoral researcher will support the principal investigator
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to the molecular-scale structural characterisation of a polymer complex (PEDOT:PSS), the structure of which remains a subject of considerable debate within the global scientific community. The aim will be
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, Structure et Traduction (Genomics, Structure and Translation) team, which specialises in translation, ribosome dynamics and stop codon readthrough. The postdoctoral researcher will have access
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applications for a Postdoc position within the NWO project ‘The Morphicon: A new gateway to morphological knowledge’. The postdoctoral researcher will work in a small team to build a morphological
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of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following
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learning potentials to predict SAM formation on solar cell absorber and battery electrode surfaces Understand the evolution of the electronic structure under realistic operating conditions Contribute
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 8 hours ago
. In Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC 2026. https://arxiv.org/abs/2602.13905 Clérice, T., Pinche, A., Vlachou-Efstathiou
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/ Population-scale multiome immune cell atlas reveals complex disease drivers https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide