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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave
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expectations. Required Documents Resume/CV Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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, internal salary equity, candidate experience and qualifications, and budget constraints. Apply: https://uic.csod.com/ux/ats/careersite/1/home/requisition/19398?c=uic&sq=postdoc About the University
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including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at Visit Gainesville . Expected Salary: The salary is competitive and commensurate with
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level