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Postdoctoral Researcher, you will take primary responsibility for developing deep content-based watermarks for audio and work jointly with a doctoral researcher on robustness, evaluation, and generalization
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actively developing the relevant techniques needed for this project. Ability to work both independently and collaboratively as part of a multidisciplinary research team, and to adapt to evolving project
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Doctoral Researcher, you will take primary responsibility for detecting generated audio content from multiple sources, and work jointly with the Postdoctoral Researcher on robustness, evaluation, and
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opportunity from the School of Chemical and Biomolecular Engineering for a Postdoctoral Research Associate in Electrochemical Engineering to work in the Electrochemical Engineering Lab led by Dr Fengwang Li
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work independently. A strong research record in wireless communications, networking, or optimization. Applicants are expected to have a strong background in at least one of the following areas
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of Chemical and Biomolecular Engineering for a Postdoctoral Research Associate in Electrochemical Engineering to work in the Electrochemical Engineering Lab led by Dr Fengwang Li. This position offers
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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
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, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI), Partner Investigators (PIs), research
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
community of atmospheric chemists at MIT. The work will focus on interpretation of AGAGE observations of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs) using models, measurements and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional