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(minimum 80% FTE) Reporting to Professor Rachel Upthegrove, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified Medicine Study and the Antidepressant for Prevention
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
scene diversity and flexibility, making them attractive for applications in entertainment, simulation, and human–computer interaction. However, a persistent limitation lies in their inability to enforce
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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Development Design, develop, and implement innovative research projects related to digital surgery, image-guided interventions, biomedical imaging, and clinical innovation. Identify, fabricate, modify, and/or
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, quantitative imaging, molecular mechanisms regulating cell migration and work independently and as part of team. Will develop protocols, quantitative image analysis pipelines, training and education materials
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currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission
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, the postholder will analyse imaging datasets acquired from mice performing analogous behavioural tasks, thereby revealing mechanisms that underpin flexibility at the cellular level. This research forms part of Dr