16 component-labeling-agorithm-cuda Postdoctoral research jobs at Stanford University
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis
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explored extensively. You will be part of a medium-sized team (typically 7-10 members) that meets regularly and works closely with each other and with the PI. The position includes opportunities for travel
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are interested in working as part of collaborative projects and interacting with national and international consortia. Familiarity with human beta-cell models is highly desired but not essential if they have
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electrophysiology. We are seeking a postdoctoral researcher to lead the neuroimaging component of a longitudinal, pediatric drug trial in Neurofibromatosis type 1 (NF1). In this role, you will acquire and analyze
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into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
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-solving skills. Ability to work independently and as part of a collaborative team. Required Application Materials: Cover Letter specifying past research experience/skills/accomplishments CV Contact
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. Bronte-Stewart (link is external) , part of the Stanford Movement disorders Center within the Department of Neurology and Neurological Sciences at Stanford University’s School of Medicine, is seeking a
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including liquid chromatography (e.g. HPLC) and NMR spectroscopy. The candidate will become part of our team and will also have opportunities to collaborate on related projects in bacterial polysaccharides
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factor in human reproduction, as implantation failure remains a major reason for IVF treatment failure and early pregnancy loss. You will work at the interface of the Molè and Qiu labs as the lead