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Job Description St. Jude Children's Research Hospital's Department of Imaging Sciences is a new academic department that is recruiting faculty-level scientists and engineers specializing in
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
space where you define the technical roadmap for computer vision and medical imaging breakthroughs. We are looking for a software engineer who is dissatisfied with the status quo and possesses
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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for catalysis of sustainable chemical processes. Visualizing Chemical Dynamics in Real Time Apply advanced atomic-resolution imaging and image analysis to uncover surface dynamics, reactivity and molecular
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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immunogenicity. Over the past decade, this process has been well characterized, and robust methods have been developed to predict it with high confidence. In contrast, our understanding of the principles governing
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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Technology Core , Proteomics and Metabolomics Centers , modern plant growth facilities , agricultural experiment stations , an imaging center , and an electron microscopy core . Minimum Qualifications: Ph.D
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Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi
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provide detailed insights into the atomic-level processes. By linking mechanistic understanding at the atomic scale to system-level performance, this project aims to establish design principles that can