123 formal-verification-computer-science Postdoctoral positions at Stanford University
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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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the Department of Radiology, Division of Interventional Radiology, at Stanford University is seeking a highly motivated postdoctoral fellow with expertise in biomedical engineering or a related field. The lab
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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: Biomedical Informatics Research (BMIR) Ped: Developmental Behavioral Postdoc Appointment Term: A postdoc term is usually 2 years, though this may vary. Appointment Start Date: Funding for this position is
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organoids. A combination of bioinformatic and wet-lab approaches We welcome applicants with experience in molecular biology, human ogranoid, neurobiology, RNA biology, or computational biology — or a strong
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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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development in the context of specific, clinically relevant genetic defects. A physician-scientist with formal training in hematology/oncology/stem cell transplantation and a never-ending fascination with
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford