79 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" research jobs at Nature Careers in United States
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dates, but successful applicants are welcome to take up post in New Haven starting July 1, 2026. Application & Selection Process Please apply online at https://career.bmedx.com/registration/2025-NHV-C01
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. degree and is determined by the Graduate College (https://grad.uiowa.edu/postdocs/salary). Applicants must be eligible to work in the United States. Required Qualifications: Completion of Ph.D. or M.D
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Requirements: * A brief, one-page description of project; we encourage a graphical abstract *Cover Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https
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: https://ragoninstitute.org/yu/ and https://ragoninstitute.org/lichterfeld/ Job Duties: Responsible for the design, execution, and interpretation of experiments; Interfaces with collaborators to design
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vitae, a brief cover letter outlining their research experience and interests, and contact information for three references via email to: sgong@engr.wisc.edu Research Group Website: https
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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decisions are anticipated to be made by April 1st, 2026. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/40521 Applications must be completed by January 31, 2026 at 5:00 PM
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the Department of Structural Biology, are seeking a highly motivated computational chemist interested in applying state-of-the-art techniques in computer-aided drug design to discover novel small molecule
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receive: • Direct mentorship from HFRI faculty investigators • Exposure to study lifecycle management (from concept to close-out) • Structured feedback on scientific writing and presentation skills
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely