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biophysical (e.g., FRET, ITC, SPR) and structural techniques (e.g. cryoEM) to characterize protein interactions Background in membrane biology or lipid biochemistry. Knowledge of neuroscience or synaptic
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Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD/FIETE LABS, McGovern Institute, (two openings) to conduct interdisiplinary research on the relationship between neural circuit structure and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Apr-26 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Medical - Research Internal Number
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molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Apr-26 Location: Omaha, Nebraska Categories: Academic/Faculty Medical - Research Internal Number: 97497
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related to staff position within a Research Infrastructure? No Offer Description Come to CEITEC MU in Brno and join us! We are passionate structural virologists at CEITEC looking for Postdoctoral Researcher
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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on surface chemistry and catalysis, with a focus on understanding how halogenation (fluorine and chlorine) and thermal treatments can tailor the electronic and structural properties of NDs. The postdoc will
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 373343 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning