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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
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. Investigate polypharmacy and multimorbidity in newly diagnosed patients with autoimmune rheumatic diseases. Contribute to studies utilizing natural language processing (NLP) to assess patient self-management
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imaging; cellular and molecular biology studies and assays including for example cell culture and transfections, qRT-PCR, RNA and DNA isolation and preparation, ELISAs, tissue histology and microscopy, and
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for flexible load operation from IAW sectors in California. Our scope of work for this project is to develop and test a set of digital tools that enable water utilities to value, assess, and deploy energy demand
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, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
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mechanistic understanding of polar lobe formation at the molecular, cellular and biophysical level. You will adapt live imaging, genetic and molecular manipulation, and biophysics assays to embryos of several
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profile of the Laboratory can be found at https://www.nivs-lab.org/ (link is external) . Required Qualifications: Ph.D. in Biomedical Imaging, Neurobiology, Bioengineering, Medical Physics, or related areas
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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the Department and wider Stanford community to establish new techniques and research directions. • Apply and obtain competitive funding. • Employ advanced imaging, spatial analysis, and sequencing-based
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics