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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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postdocs. Support grant writing and funding applications to extend the lab’s research impact. Represent the research group in academic, industry and policy-making forums. You will hold a PhD/DPhil in a
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techniques, image analysis, genetic manipulations, biophysical approaches, and collaborate with theoreticians to address these questions. The specific details and aims of the project will be driven by
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and imaging for cancer research, with an emphasis on computational pathology to identify biomarkers predictive of treatment response, prognosis, and disease progression. The successful candidate will
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and imaging for cancer research, with an emphasis on computational pathology to identify biomarkers predictive of treatment response, prognosis, and disease progression. The successful candidate will
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imaging, will allow for comprehensive and reliable characterisation of photocatalyst surfaces, shedding light on potential activation and deactivation mechanisms. The environmental STEM at the York-JEOL
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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