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participant recruitment efforts, including outreach, screening, and coordination with nursing homes. Conduct qualitative interviews for PPP awarded nursing home staff. Conduct qualitative data analysis (coding
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neuroimaging data, publish findings, and collaborate across an active, interdisciplinary team. Key responsibilities: - Design, preregister, and conduct psycholinguistic/neurolinguistic experiments - Collect and
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, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and
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postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as
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an offer. The ideal candidate should have a Ph.D. and will have research experience in chemistry, biophysics, biomedical engineering, or related fields and possess excellent computer and programming skills
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industry internship experience. Candidates will be required to present eligibility to work in the United States. Applicants should submit the following information: Cover letter up-to-date CV that includes a
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in Data Science Seeking "Expression of Interest" from postdoctoral researchers interested in Data Science at the Center for Data Science at NYU. The Center for Data Science (CDS) seeks to create a
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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
a cover letter, curriculum vitae with full publication list, statement of research interests, and contact of three reference letters, all in PDF format. If you have any questions, please email
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Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media
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hybridization) Advanced imaging and data analysis (e.g., confocal, light-sheet, two-photon microscopy) Cellular bioengineering approach (e.g., on-chip cell culture) Electrophysiological techniques (e.g., whole