35 biosignal-processing-machine-learning Postdoctoral positions at Princeton University
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computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
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applicants must: - Hold or expect to have completed a doctoral degree in Design or in a design-related field such as Human-Computer Interaction, Information Science, Science and Technology Studies, Sociology
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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engineering, materials science, electrical engineering, or a related field. Have expert proficiency in the fabrication and testing of solution-processed electronic/optoelectronic devices Be familiar with
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subject to the University's background check policy. The work location for this position is on campus, in person. This position is not eligible for sponsorship of an H-1B visa requiring consular processing
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on campus at Princeton University. This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing
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— Plasma diagnostics and experimental data analysis â— Plasma control and instability prediction â— Signal processing and data-driven analysis of plasma measurements Requirements: â
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location for this position is in-person on campus at Princeton University. Note: This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships
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contact information of 3 references. This position is not eligible for sponsorship of an H-1B visa requiring consular processing. Other visa sponsorships (including H-1B visas not requiring consular
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science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology, philosophy, and related technology disciplines. Selected candidates