37 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions at Yale University
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at https://www.johnsous.com. [https://www.johnsous.com/images/icon_hu61134baca3b3567c6f9ff584405aa1f8_7678393_512x512_fill_lanczos_center_2.png]https://www.johnsous.com/> John Soushttps://www.johnsous.com
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: For questions about the application process, please contact Xiaomei Ma (xiaomei.ma@yale.edu ) and be sure to include "CPC T32" in the Subject line of your email. Create a Job Match for Similar Jobs About Yale
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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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for restoration efforts on highly degraded smallholder farms. In March 2024, an ELTI scoping and assessment process, conducted with Rwandan professionals and institutions, identified a knowledge gap in the
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invites applications for a postdoctoral position. The successful candidate will be driving cutting-edge research into the mechanisms and engineering of cell–cell fusion and cell signaling in human
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into the effects of cannabis and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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of Medicine, is seeking a highly motivated and talented postdoctoral researcher to join the team for a pioneering project at the intersection of computational immunology and AI-driven protein engineering. The
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investigating the causes and consequences of mutational processes in human health and disease. We are an interdisciplinary team of computational, experimental, and clinician scientists allowing us to generate and
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mechanisms in RNA-guided processes, and to develop novel genome editing applications based on the mechanistic understanding. Research details can be found in our laboratory and departmental web sites