16 institute-of-computational-biology Postdoctoral positions at University of Texas at Dallas
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, biochemical assays, and molecular biology techniques (including western blotting and RT-qPCR) Experience with electrophysiology, rodent EEG recordings, experimental seizure models, or computational techniques
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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in the Department of Chemistry and Biochemistry at the University of Texas at Dallas. Dr. Fasan is seeking candidates who are interested to work at the interface of chemistry and biology within a
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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Job Summary The research group of Prof. Ming Xie in the Physics Department at The University of Texas at Dallas invites applications for a postdoctoral position in theoretical and computational
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against receptors found in human dorsal root ganglia (DRG), and culminates in functional validation using human DRG neurons. The project has two primary aims: Whole genome identification and validation
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: You are open to feedback and act on it. You are enthusiastic about learning new experimental techniques that can be applied to solve real-world problems. You are highly motivated to pursue and establish
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation