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Field
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cancer cells. Our research combines cell biology and immunology, using genetic approaches including CRISPR and single cell RNA sequencing of primary lymphocytes, together with high-resolution imaging
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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two-photon calcium imaging and/or Neuropixels electrophysiology. A strong background in analytical and/or statistical analysis, along with proficient programming and coding skills, is essential
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Department Name BIOLOGY Location Code BIOLOGY (02112A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The research assistant will lead and supervise research projects in Dr. Megan
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by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and