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portfolio with project dashboard for data tracking. Work independently to produce tables, charts, graphs for manuscript and grant preparation from sources including analyst reports, publicly available data
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knowledge and understanding of scientific theory, in particular social science and statistical methods, when precedents do not provide specific guidance. General instruction provided by the supervisor as
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
Practical experience in managing clinical quality programs. Req 2 years Progressive experience in a management of supervisory capacity. Req Demonstrated ability to prioritize and manage multiple complex
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graph theory. Qualifications Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply
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Demonstrated ability to prioritize and manage multiple complex projects simultaneously and maintain flexibility to adapt to a changing environment. Req Demonstrated planning and organizational skills; good
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understanding of KB development Working with specific Robotics applications in multiple domains Proficiency with various state-of-the-art Computer Vision models Project 2. - PhD Position in Sustainable AI
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transforming the theory into scalable production systems, backed by patented innovations. (3) A proven research record in mathematical AI (e.g., optimization, dynamical systems, graph theory, probabilistic
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in a management of supervisorial capacity. Req Demonstrated ability to prioritize and manage multiple complex projects simultaneously and maintain flexibility to adapt to a changing environment. Req
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for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL