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Molecular and Cellular Biology, Neuroscience, or a related discipline. The candidate must have a strong scientific background and familiarity with C. elegans genetics and gene editing, neuronal Ca2+ imaging
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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: Pharmaceutical Biophysics, Chemical Biology, Drug Delivery, Pharmacology and Therapeutics, and Clinical Practice and Medication Use. There is a vibrant PhD programme with more than 100 students, and a
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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, including basic processing of photoemission data, as well as more advanced processing for HAXPES data or photoemission imaging. *Participate in measurements at large-scale facilities such as synchrotrons