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and evaluations Deep experience in instructional design theory and principles as applied in HMS courses Experience in designing simulation-based learning courses and content Classified Title: Sr
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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within a diverse and collaborative discipline group, you will lead and deliver innovative learning experiences, drive impactful research aligned with the College’s strategic priorities, and foster strong
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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advanced analytical and statistical techniques to extract actionable insights from complex datasets. Train, evaluate, and continuously refine deep learning and machine learning models, prioritising
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addition to teaching duties, the PhD candidate is expected to conduct research in the field of (deep) machine learning, with applications in either biomedical image understanding (e.g., surgical video analysis in
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at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding
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candidate will have a PhD in Immunology, Molecular Biology, or a related field, relevant laboratory experience, and an exceptional scientific research record. The instructor will join a multidisciplinary team
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into the School’s activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and