183 structures-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Posting Details Position Information Posting Number PG191577PD Position Number 00111691 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140301 - Civil Construction
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homeostasis. Responsibilities include recombinant protein expression and purification, development and execution of enzyme and biophysical assays, and quantitative data analysis to support structure–function
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Simulation, Electronic Structure Calculation or Quantum Dynamics. These required and desired skills should be demonstrated through a record of peer-reviewed publications. Additional Information: The College
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structure, and modeling approaches. Deliver all modeling outputs on time. Model Advancement: Provide critical feedback, improvements, or recommendations for model advancement based on the intercomparison
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-resolved fluorescence methods for studying protein-protein interactions and protein structure-function relationships in live cells. This project will focus on elucidating the structure-function mechanisms
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ecosystem. Key Responsibilities Develop and optimize lithographic patterning of nano- and meso-scale structures, such as gratings, waveguides, cavities, and metamaterials for quantum and THz devices Integrate
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associate to develop deep learning algorithms: 1) to model 3D protein complex structures and impact of mutations/PTMs on protein structure and interactions; and 2) to dissect functional elements (e.g
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biology, or biochemistry and has demonstrated experience in multi-step organic synthesis and molecular structure determination, biological assays and ligand binding assays, reaction kinetics
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dark matter candidates o New probes of early universe cosmology o Understanding constraints on new forces from structure formation Collaborate closely with research group members at Delaware and Johns
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. The Luque lab has recently developed an interdisciplinary approach that integrates theoretical biophysics, molecular dynamics, machine learning, and bioinformatics to predict the capsid structures