200 structures-"https:"-"https:"-"https:" Postdoctoral research jobs in United States
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. Perform research by integrating tools from protein engineering, e.g. phage display, yeast display, high-throughput screening and structure-based protein design, with those applied in virology, bacteriology
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development at Ames National Laboratory that address domestic supply-chain resilience. The role will pursue mechanisms, structure–property relationships, and phase evolution, associated with the discovery
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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, and related techniques Conduct electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate mechanisms and structure–property relationships Document results and lead
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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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on innovative device fabrication for quantum technologies. Strong interest in construction of novel devices is essential. The position is funded as a post-doctoral fellowship with a minimal term of two years
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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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interdisciplinary research focused on: (1) Elucidating the molecular mechanisms by which distinct phagophore membrane structures regulate protein function during autophagy (Ye et al., Nature Communications, 2021
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element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and support the development of advanced diagnostic and
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) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI and physiological data; integrate multimodal metrics to uncover fluid-flow interactions