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Laufer Center for Physical and Quantitative Biology at Stony Brook University is a multidisciplinary hub for research and graduate training that brings together experts in physics, mathematics, computer
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Research Unit of Health Sciences and Technology (HST), Faculty of Medicine the Center for Machine Vision and Signal Analysis (CMVS), Computer Science and Engineering, Faculty of Information Technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
our 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
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webpage Research Overview — The Laufer Center ) but are particularly interested in molecular and cellular systems dynamics, interaction networks, adaptation/evolution, drug discovery and design, and
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society. The Center for Vision, Automation & Control located in Vienna (Giefinggasse, 1210) invites applications for a master thesis. Within the Center for Vision, Automation & Control , the Competence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
SHRA Temporary and 94 Students. The department’s operating budget is 27 million a year. Position Summary Successful candidates will join the Atlantic Coast Center for Infectious Disease Dynamics and
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forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to
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Jonathan Rubin (University of Pittsburgh, Mathematics). The project specifically focuses on how dynamics of cortico-basal ganglia-thalamic pathways contribute to naturalistic foraging behaviors. The
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++ skills Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred) Linux development experience Knowledge of basic software engineering principles
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++ skills Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred) Linux development experience Knowledge of basic software engineering principles