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agency meetings, and prepare proposals for additional extramural funding of the research program. This is a benefit eligible, non-tenure track position. The appointment is for an initial period of one year
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years. During the NLM T15 sponsored Postdoctoral Fellowship, you will study and perform research in Biomedical Informatics, working on one or more of the following: Artificial Intelligence / Machine
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of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of molecularbiology, Umeå university is offering a
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: Currently enrolled at KU School of Medicine. Required Documents Curriculum Vitae (CV) Cover Letter/Personal Statement demonstrating interest in Pathology (800-word limit) 2 Letters of Recommendation
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in computer science. About the Group The Data Intelligence Group at UM6P-CC is a
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: PICKLE RESEARCH CAMPUS ---- Job Details: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
from a mental health counseling program (e.g., Clinical Mental Health Counseling, Counselor Education, Community Counseling, etc.) or counseling psychology program by the start date (August 10, 2026
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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring