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Field
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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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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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, 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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to cancer progression. Using image-based siRNA screens, we have identified novel regulators of ER-phagy. This project aims to investigate the molecular mechanisms of ER-phagy and how this contributes
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transcriptomics or proteomics, multiplexed imaging and/or integration of spatial transcriptomics with single-cell RNA-sequencing datasets. Experience from relevant research projects will be considered an advantage
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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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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
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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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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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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