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Field
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, physical function, mental and social wellbeing after initiating burosumab. Access local clinical data to determine the predictors for clinical events, laboratory and imaging findings after initiating
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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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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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models and patient-derived samples. Apply neuroscience techniques such as electrophysiology or calcium imaging to cancer models. Key Requirements: Competitive candidates should have obtained a Ph.D. in
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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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imaging for nanomaterials, and other magnetic imaging methods. Qualifications: Completing a PhD in Physics with solid knowledge of condensed matter physics, quantum mechanics, and magnetism by the start