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of the conformational states of biomolecular complexes from cryo-EM images [2,3]. MDSPACE will be used to obtain a detailed map of the conformational states of VCP/p97, induced by nucleotide binding and miniprotein
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-strength wrought complex concentrated alloys Main ideas of the proposed dissertation topic: The PhD thesis will be focused on the research of the influence of hydrogen on the deformation behavior and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
complexes. The PhD will be carried out within the newly created Inria project-team DELTA at the Inria Center of the University of Lorraine, focusing on computational biology and artificial intelligence
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photonic systems, in particular, make it possible to harness the richness of optical dynamics to perform complex operations inspired by biological neural networks. However, current approaches face
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, predict, and improve the behaviour of complex material formulations under RAM conditions, helping to establish a more rigorous scientific and engineering basis for this emerging technology in demanding
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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) datasets of VCP/p97 and VCP/97–ligand complexes. This will enable obtaining detailed maps of conformational states associated with mini-protein engagement, allowing assessment of how designed binders control
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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we’re growing along with it. At the Universiteit Maastricht (UM), your work makes a difference—whether you explore complex biological systems, contribute to cutting-edge research, or help shape
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stakeholder engagement. The project will directly support UKHSA and partners in strengthening system readiness, contribute to national EPRR learning, and generate generalisable insights into how complex multi