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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu/lulab.html (link is external) How to Submit Application Materials: Email the required application materials to bingwei
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or Veterinary field Department/Program & College Description: Our research goal is to investigate the cellular and molecular mechanisms of disease modification in experimental models of epilepsy and
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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“Best Airport in North America” by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation IUSM is committed to being a
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. The appointment will initially be for one year, with the possibility of extension for up to an additional two years. More information about the group and the IU Physics Department can be found at: https
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for participant engagement in long-term implanted brain computer interface trials and participate fully in the lab’s activities across campus. This position requires a doctoral-level degree in a relevant field
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: Physics Postdoc Appointment Term: 2-years Appointment Start Date: As soon as possible Group or Departmental Website: http://aaronsharpe.science (link is external) http://ggg.stanford.edu (link is external
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employer. We encourage applications from individuals of all backgrounds and experiences. Application Materials Required: Further Info: https://www.bu.edu/questrom/faculty-research/academic-departments/ 595
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field. Required Qualifications, Competencies, and Experience Background in causal inference