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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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the analysis and monitoring of detected events within the continuous monitoring of the SIN. The fellow will be based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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communication skills. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with
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. Knowledge on computer programming and web development tools Evidence of publications in reputed refereed journals and presenting at conferences. Some experience in meaningful internal service roles and
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Posting Details Position Information Posting Number PG191501PD Position Number 00111529 Position Type Post Doc FLSA Departmental Information Department ID 140401 - Electrical & Computer Engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, reasoning and problem solving skills. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy including the ability to use a variety of software
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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science