University of York
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PhD in Sustainable Diversification of Therapeutic Peptides via Amino-Carbonylation University of York in United Kingdom
Degree Level
PhD
Field of study
Chemistry
Funding
PhD position within the Chemical Synthesis for a Healthy Planet (CSHP) CDT at York; collaboration with Johnson & Johnson and academic partners is mentioned. No stipend, tuition, or funding amount is stated in the post.
Deadline
Nov 13, 2026
Country
United Kingdom
University
University of York

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About this position
PhD opportunity at the University of York in chemistry, focused on designing new chemical routes to diversify therapeutic peptides via amino-carbonylation. The project is part of the Chemical Synthesis for a Healthy Planet (CSHP) CDT and involves collaboration with Johnson & Johnson, Ian Fairlamb (York), and Molly Stevens (Oxford).
This is a strong fit for students interested in organic/medicinal chemistry, peptide synthesis, and translational research at the interface of chemistry and drug discovery. The post does not specify exact funding details, but it is presented as a PhD position within a CDT. No explicit waiver, stipend amount, or tuition information is given.
Deadline: 13 November. If you are interested, contact the poster and review the linked FindAPhD listing for application details.
Funding details
PhD position within the Chemical Synthesis for a Healthy Planet (CSHP) CDT at York; collaboration with Johnson & Johnson and academic partners is mentioned. No stipend, tuition, or funding amount is stated in the post.
What's required
Interest in a PhD project on chemical synthesis and therapeutic peptides is implied. The post does not list specific degree, grade, language, or technical prerequisites, but applicants should be interested in sustainable chemical synthesis and interdisciplinary collaboration with academic and industrial partners.
How to apply
Get in touch if you are interested and apply via the linked FindAPhD listing. Check the posting before the deadline of 13 November.
More information can be found here
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