62 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions at Stanford University
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whole-body cancer detection. We are interested in both technical development and clinical translation pipelines, leveraging resources at the Lucas Center for Imaging, synergies across the clinical MRI
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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awareness, are known to be critical. However, the role of other factors – such as differences in visual processing and executive functions (EFs) – are still debated. The overarching goal of this project is to
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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Rejuvenation, Epilepsy and Pediatric Neurology. We are seeking a highly motivated and qualified post-doctoral scholar to lead studies using state-of-the-art high throughput drug screening technology to identify
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional
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term with possible extension Appointment Start Date: ASAP, a date will be confirmed once selected to move forward with appointment processing Group or Departmental Website: http://med.stanford.edu
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fMRI, task fMRI, and multi-band functional imaging. A clear motivation to pursue research in neuroimaging that is applied to understand and treat brain circuit disruptions. A demonstrated capacity to
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford