13 modal-analysis-machine-learning Postdoctoral research jobs at University of Southern California
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network (department or school) Computer
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Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network (department or school) Computer network (university) Computer
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skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network
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to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous research to inform
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undergraduate and graduate students. Strong desire to learn and grow for the next career step. Preferred Qualifications : Preferred Education: PhD in Neuroscience, Biology or Biochemistry or Similar Discipline
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Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.
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, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication
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, actionable research to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous
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degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization