276 data "https:" "https:" "https:" "https:" "Ulster University" research jobs at Harvard University
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: This position will report directly to the Principal Investigator and perform the following duties: Leads laboratory experiments utilizing standard techniques and equipment; Collects data related to cephalopod
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that arise, and contribute intellectually to the project. For more information, visit: https://wyss.harvard.edu/focus-area/biomimetic-therapeutic-diagnostics/ What you'll do: Perform microfluidic organ-on-chip
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position in the Gozzi Lab at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab’s primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents
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collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
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," and we love challenges. For more information discover our technologies , catch up on our recent news , or watch our latest videos . Job Description About you: You are a collaborative, impact-focused
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: January 9, 2026 For more information, see http://warrencenter.fas.harvard.edu/. Basic Qualifications Applicants may not be degree candidates and should have a Ph.D. or equivalent. Fellows have library
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Qualifications Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a
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attraction to artificial light that took place over summer 2025. Candidates will be expected to plan and lead behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate
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recordings, developing and prototyping sensing hardware, and executing structured data collection protocols. The candidate will contribute to experiments involving nerve interfacing, signal acquisition, and
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic