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This is a fully-funded 3-year position in the School of Chemistry, University of Birmingham, to work on an interdisciplinary project in the group of Dr Gemma-Louise Davies. The project will involve the development of molecular and nanoscale materials as contrast agents for Magnetic Resonance Imaging. These materials will be designed to possess responsive properties, capable of changing their signal in response to the presence of a disease biomarker. The student will gain expertise in organic/supramolecular synthesis, inorganic nanoparticle synthetic techniques, bioconjugation and the use of a variety of analytical techniques, including, but not limited to, relaxometry, clinically-relevant MRI and electron microscopy.
Please visit our group website for more details about our research: www.gemmalouisedavies.com
The successful applicant will demonstrate strong interest and self-motivation in the subject and the ability to think analytically and creatively. Candidates will be expected to take ownership of their project. An enquiring and rigorous approach to research as well as good team-working, observational and communication skills (both presentation and writing skills in English) are also essential. Previous research experience in contributing to a collaborative interdisciplinary research environment is highly desirable but not essential, as training will be provided.
The successful applicant will be joining a group of researchers with diverse research projects, and will be based in brand new state of the art Chemistry laboratories at the rapidly growing University of Birmingham.
Due to funding restrictions, only UK students are eligible for this studentship. The start date for the PhD is September 2024. Applications will close 1st February with interviews shortly thereafter, but the position will be filled as soon as an appropriate candidate is found.
Applicants should include in their application a motivation letter, CV and contact info for 2 referees. Informal enquiries to Dr Davies ([Email Address Removed]).
Research output data provided by the Research Excellence Framework (REF)
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