9 engineering-image-processing-phd-"https:"-"UCL"-"UCL" Fellowship positions in United States
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, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9
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) equipped with a cryogenic stage for surface analysis - Develop computer code (e.g. Python) for the development and analysis of optical cavities Qualifications § PhD degree in Materials, Electrical
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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-clamp electrophysiology, quantitative imaging, protein engineering, structural methods (cryo-EM, X-ray, MD modeling), lipid biochemistry, and/or disease models (rodents or organoid/organ-on-chip). Duke
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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alongside residents and faculty Support for conference travel to present research Preferred—but not required—experience includes backgrounds in: 3D Printing Engineering Computer Aided Design Medical
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related to developing and applying contrast-enhanced ultrasound approaches, and image processing to study remodeling of the islet microvasculature and islet blood flow regulation in type1 diabetes and to
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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digital image analysis platforms (Halo, VisioPharm, QuPath, InForm, etc.) a plus Experience with R, Python, and commonly used libraries/packages a plus Enthusiasm for novel assay and technology development