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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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. The Sharma lab is developing rationally designed, smart, clinically translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role A successful candidate will join the EPSRC funded project “Catalysis meets plasmonics: New
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ranging from polymer chemistry and organic/functional synthesis to advanced materials science, the study of contaminant-surface interaction at the molecular level, and filtration prototype validation in
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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to manuscript preparation and dissemination of research findings. Qualifications Ph.D. in Engineering, Physics, Computer Science, Neuroscience, or a related discipline. Strong programming skills (Python, MATLAB
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during cancer and viral pathogenic processes. The Atherton group is based in Randall Centre for Cell & Molecular Biophysics , home to a diverse array of structural and cellular biology research, which is