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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Construction Science Proposed Minimum Salary $5,833.34 monthly Job Location College Station, Texas Job Type Staff Job
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RESEARCH STRUCTURES (PAID-10-22) 142486 Design, development and validation of graphene-based materials and polymeric membranes as components for fuel cells. Where to apply Website https://www.upv.es
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mechanisms underlying protein–RNA interactions and their regulation. We combine structural, biophysical, cellular and computational approaches to understand how RNA-binding proteins recognise their partners
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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encouraged to apply. Our laboratory develops and applies NMR methods - particularly solid-state NMR - to reveal molecular composition, structure, interactions, and chemical modifications in complex biological
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-electron tomography and micro-electron diffraction. This new facility will further expand structural biology activities at the site complementing the Structural Biology Laboratory (SB Lab) of Elettra
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, the successful candidate will integrate phenotypic characterization, genetic perturbation, and comparative genomic analyses. * Culture and handling of clinical *Escherichia coli* strains. * Construction
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of computational magnetism. The project aims at identifying and interpreting novel phenomena in nanoscale magnetic systems, particularly in non-collinear spin structures and magnet-superconductor hybrid systems
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communication skills. Preferred Qualifications: ● Experience in structure-based drug discovery workflows, including virtual screening, molecular docking (e.g., AutoDock Vina, Schrödinger), and free-energy/ADMET
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
connections between wet and dry lab, bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins