PhD in Structural Basis of Substrate Recognition by Glycosaminoglycan Biosynthesis Machinery
Investigate the structural mechanisms of glycosaminoglycan biosynthesis at Université Grenoble Alpes.
Best for:Best for graduate students with a strong background in structural biology, biochemistry, and molecular biophysics.
Overview
This PhD position at Université Grenoble Alpes focuses on elucidating the structural basis of substrate recognition by the glycosaminoglycan biosynthesis machinery. Operating within the chemistry and life sciences doctoral school, the project involves advanced structural biology approaches to understand critical enzymatic processes. The successful candidate will conduct independent research, analyze complex biochemical data, and collaborate with multidisciplinary teams. The role expects active scientific contribution, rigorous experimental design, and dissemination of results through publications and presentations.
What you'll do
- Perform biochemical and biophysical characterization of macromolecular complexes involved in glycosaminoglycan biosynthesis.
- Determine three-dimensional structures using techniques such as X-ray crystallography or cryo-electron microscopy.
- Design and execute mutagenesis and enzyme activity assays to evaluate substrate recognition mechanisms.
- Analyze, interpret, and present experimental data in lab meetings and international conferences.
- Draft manuscripts for peer-reviewed scientific journals and contribute to the writing of research reports.
Requirements
Degree required: Master of Science in Biochemistry, Structural Biology, Molecular Biology, or a related discipline
Degree offered: PhD
Language: English; working knowledge of French is a plus
Instruction: English and French
- Strong foundation in protein biochemistry and structural biology principles
- Experience with protein expression, purification, and biophysical characterization
- Familiarity with structural determination methods such as X-ray crystallography or cryo-EM
- Demonstrated ability to analyze complex scientific data and troubleshoot experiments
- Good written and verbal communication skills in English
- Hold or be about to complete a qualifying Master's degree or equivalent higher education degree
Funding & terms
How to apply
Deadline: 2026-10-31
Interested candidates should review the application requirements on the portal and submit their application package online before the specified deadline. Ensure all requested academic credentials and supporting documents are properly uploaded through the official submission platform.
- CV
- Cover letter
- BSc + MSc transcripts
- Reference letters
Contact
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