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(relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning
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pressing challenges. The PIIRS Postdoctoral Fellows Program is integral to that mission. We will award two postdoctoral fellowships to our 2026-27 cohort. PIIRS seeks recent PhDs in the Social Sciences who
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continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
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of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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acquisition)Strong publication recordIn addition to technical expertise, we value strong communication, technical writing skills, and teamwork. The successful candidate is a self-starter with a demonstrated
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of supplies, reagents and samples. Minimum Required Knowledge, Skills, Competencies, and Abilities *PhD required *Prior experience working in a research environment *Experience in working in a microbiology lab
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communication, teamwork, and mentorship. Candidates should be able to lead independent research projects while collaborating with and supporting junior lab members. A good publication record demonstrating
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict