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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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(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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or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
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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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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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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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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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, 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
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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