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Field
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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational
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located at Guy’s campus. Researchers have access to support facilities in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC) and CDN
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, Quantum espresso); molecular dynamics simulations (e.g. LAMMPS, DL-POLY); development of inter-atomic potentials (e.g. pro-fit, MLIP-3); Demonstrated experience in meso-scale models such as cluster dynamics
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neurodegenerative diseases and a background in cellular and molecular biology, neuroscience and metabolism. Additionally, the successful candidate will have an interest/expertise in developing novel cellular/tissue
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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translational research. Experience with mouse or rat work is highly desired such as microsurgery (rodent spinal cord injury model), tissue harvesting, and behavioral tests. Previous experience in neuroscience
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals