95 postdoc-structural-dynamics Fellowship positions at Nanyang Technological University
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of neurodegenerative diseases, especially on disease-relevant amyloid fibrils (e.g., Aβ, tau, α-synuclein). You will utilize your expertise in structural biology (e.g., cryo-EM, cryo-ET and NMR), cell biology, molecular
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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of human aging and neurodegenerative diseases, especially on protein-lipid interactions in age-related disorders. You will utilize your expertise in structural biology (e.g., cryo-EM/ET, in-cell NMR), omics
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A Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical
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The Senior Research Fellow (Microscopy and Spectroscopy) will work collaboratively with the researchers from the Institute for Digital Molecular Analytics and Science (IDMxS) on projects involving advanced optical microscopy and spectroscopy (super-resolution microscopy, time-resolved...
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and integrated systems that support autonomous inspection, damage assessment, progress monitoring, and construction automation, while contributing to the broader research vision and long-term objectives
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Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We
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heterogeneity of their environments. For more details, please view www.bussilab.com and https://idmxs.org/research-theme-2/ We are looking for a highly motivated and creative Postdoc Research Fellow to join our
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angle-resolved photoemission spectroscopy (ARPES). We have immediate need for enthusiastic postdocs to synthesize novel quantum anomalous Hall phases by MBE, characterize altermagnets and p -wave magnets
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure