1,335 Education "https:" "https:" "https:" Postdoctoral research jobs in United States
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on the laboratory’s expertise in conditionally active small molecules, we aim to develop antibacterial compounds that are selectively activated in response to infection. The interested candidate will focus on synthesis
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; design and optimize synthetic strategies for complex peptides, peptide libraries, and small proteins; develop scalable production methods using solid-phase peptide synthesis and native chemical ligation
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first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https://link.springer.com/article/10.1186/s13059-024-03309-4 https://www.cell.com/cell
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include teaching responsibilities. APPLICATION INSTRUCTIONS Apply online through the Jobs@UIOWA website. Required application materials include a CV, a document with the names and contact information
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary The Kaelber lab located in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
Hiring Range Dependent on Experience and Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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! And more: https://www.bowdoin.edu/hr/benefits-perks/index.html Education/Skills Requirements Doctoral Degree required Working knowledge of all aspects of planning and deploying an AI project, including
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cellular techniques, histological analyses, and behavioral assessments, to investigate the cellular and molecular mechanisms underlying spinal cord injury and to develop potential therapeutic strategies
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. The successful candidate will help prioritize, validate, and develop therapeutic hypotheses generated from large cancer datasets, with opportunities to lead projects spanning CRISPR screening, drug-response