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, the candidate will develop structural MS approaches (HDX-MS, mass photometry, native MS and cross-linking MS) for the characterization of mulitprotein complexes. The goal is to provide conformational and
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biomechanical basis of diseases linked to chromosome mis-segregation. The research will integrate all-atom/coarse-grained MD and structure modelling and refinement with cryo-electron microscopy, optical trap
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data analysis. Knowledge/Skills/Abilities The individual must be highly motivated and able to work independently as well as part of a dynamic team. Experience with administration of structured and semi
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broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package to
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effectively across disciplines. Required qualifications: You hold a PhD in (bio)physics, structural biology a related field. You have demonstrated experience in FIB-SEM workflows and cryogenic electron
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diffraction (XRD), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), transmission electron microscopy (TEM), electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV
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PhD (within the last 0-5 years) in chemistry, physics, chemical engineering, or a closely related field A strong foundation in quantum mechanics and electronic structure theory Demonstrated expertise in
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Postdoctoral or research scientist positions in Parkinson's disease, Alzheimer's disease, and Stroke
potential, CD), transmission electron microscopy, proteinase K digestion / dot blot. Neurocircuitry: Candidates with experience using viral vectors, optogenetics, stereotaxic surgery, RNA-seq, single-cell
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polymerase pausing and termination, regulation of gene expression by transcription attenuation and translational control mechanisms, structural studies of RNA polymerase using cryo-EM, and/or genome-wide
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collaboration with researchers from Argonne National Lab and Oak Ridge National Lab on a collaborative Department of Energy funded project “AlphaFold for Microelectronics”. The role will be to develop data