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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly
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Image Processing and Analysis Group. This is an ideal position for someone with software/statistics background who is looking for some experience before applying to graduate school or to medical school
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systems . The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface . This approach enables
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, natural language processing, computational neuroscience, biomedical AI, or a related area. 5. Proven experience developing machine-learning or deep-learning models for research applications. Principal
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Library Innovation Fund Teaching Responsibilities: None Compensation and benefits : <b>https</b>://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral-compensation <b>https</b>://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/benefits-summary Appointed for one year, renewable...
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provides equal opportunity to people of a broad range of backgrounds and perspectives. For more information, please visit the WTI website: https://wti.yale.edu. Qualifications Applicants must have a
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benefits, including health insurance, see https://postdocs.yale.edu/applicants/yale-benefit-summary. Qualifications Applicants must have a Ph.D. (degree conferred by July 15, 2026) involving research
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theories. Applying: Applicants should submit a cover letter, a curriculum vitae, and a research statement via the Academic Jobs Online application found here: https://academicjobsonline.org/ajo/jobs/32396
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, a research statement, and a teaching statement through Interfolio ( https://apply.interfolio.com/194056 ). Applicants should also arrange for three confidential letters of recommendation to be
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; and a modest professional development stipend. For more details, see https://postdocs.yale.edu/postdocs/benefits Qualifications: Applicants need a minimum of a Master’s degree in art history