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modeling, and high-field NMR spectroscopy. The research will focus on the structural and dynamics of characterization of peptides, peptide analogs, and related molecules, and their interactions with specific
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, electrophysiology, live-cell microscopy, cryo-electron microscopy (cryo-EM) or cryo-electron tomography (cryo-ET), structural biology, quantitative image analysis, mouse models, or bioenergetics. Our laboratory
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, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single-cell transcriptomic, and spatial transcriptomic
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability
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, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while contributing
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cancer cell biology and tumor microenvironment, with experience in immunology and murine models. Candidate must be an expert communicator, highly organized, with excellent writing and grantsmanship skills
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investigating the molecular mechanisms of circadian gene regulation using a prokaryotic model organism. Our laboratory studies how the cyanobacterial circadian clock generates and transmits temporal information
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predict cancer progression. We use a combination of experimental and clinical data paired with computational analyses to model tumor evolution. We seek a postdoctoral candidate who will apply a combination
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expression, clustering, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants