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for developing and using systems to phenotype root systems in greenhouse and field settings under the guidance of research mentors. Build skills in root image processing and other data analysis activities using
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, injections, survival surgery and microdissection. Proficient in molecular biology techniques: RT-PCR, western blotting, immunostaining/imaging, etc. Proficient in mammalian cell culture techniques
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience
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We are looking for an enthusiastic person to join our team and work on an exciting new research project that will use magnetic resonance imaging (MRI) methods to study the journey of capsule
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diffraction imaging modalities - topotomography, dark-field X-ray microscopy, and Bragg coherent diffraction imaging - has emerged over the past decade that can resolve 3D defect architectures and strain fields
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reticulum is cleared by a pathway known as "ER-phagy", yet it remains unclear how ER-phagy dysregulation contributes to cancer progression. Using image-based siRNA screens, we have identified novel regulators
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interventions. We will enable collaboration between communities, academia, health and care, to drive meaningful change in health equality and social connection. In the process, we will impact research and policy
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areas include the development and implementation of advanced AI techniques for image-guided radiation therapy, including image reconstruction, enhancement, synthesis, segmentation, and registration, as
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implication for the treatment of young people in law and policy. This individual will have opportunities to publish independent and collaborative work using public access behavioral and imaging data (e.g., ABCD
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apply them to cutting-edge single-cell datasets generated within the lab and from public resources. There is significant scope to shape the project around your interests, including live-cell imaging, flow