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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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technicians Required Qualifications* PhD in genetics, cell biology, biochemistry, or related field Excellent written and verbal communication skills, as well as interpersonal skills contributing to a strong
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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· Ability to work as a team · Proficient communication skills, written and oral · Anticipates and solves problems · High degree of initiative Preferred skills: PhD in Virology with HIV research · Image
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physicians. Career opportunities upon completion of the postdoctoral training include: Clinical medical physics Medical imaging computer programming Radiation therapy computer programming As a successful
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aspects of the position include chronic microelectrode implantation surgery, neural recording (electrophysiological and imaging), calcium imaging of electrically stimulated ex vivo retina, behavioral
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across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare-event searches in particle
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to work as a team · Proficient communication skills, written and oral · Anticipates and solves problems · High degree of initiative Preferred skills: PhD in Virology with HIV research · Image analysis