考文垂大学PhD position in Novel Kinetic Models To Decipher GPCR Binding Mechanisms申请条件要求-申请方
主办方
考文垂大学
PhD直招介绍
About the Project
Introduction
Understanding how GPCRs couple to G proteins or β‑arrestins requires mapping their complete binding pathways. In this view, selectivity results from how quickly and effectively these early, transient complexes form. A similar approach can be used for GPCR–β‑arrestin interactions: by simulating their entire binding process under different conditions, it becomes possible to identify the dynamic factors that influence β‑arrestin recruitment.
Project details
Predictions from simulations will be validated experimentally through mutagenesis, functional assays, and BRET/FRET‑based techniques performed by established collaborators. This project is timely due to the availability of high‑resolution active and inactive GPCR, G‑protein, and β‑arrestin structures, improved GPU performance for molecular dynamics simulations, and powerful toolkits for studying signalling experimentally.
考文垂大学 PhD position in Novel Kinetic Models To Decipher GPCR Binding Mechanisms项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Funding
Tuition fees and bursary
Benefits
The successful candidate will receive comprehensive research training including technical, personal and professional skills. All researchers at Coventry University (from PhD to Professor) are part of the Doctoral and Researcher College which provides support with high-quality training and career development activities.
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申请要求
Entry requirements
A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.
PLUS
The potential to engage in innovative research and to complete the PhD within 3.5 years.
A minimum of English language proficiency (IELTS academic overall minimum score of 7.0 with a minimum of 6.5 in each component).
Additional Requirements
Previous experience in computational biology, computational chemistry, or computer science is advantageous and will help the candidate engage quickly with the project’s modelling and simulation components.
Having contributed to scientific publications, whether through data analysis, method development, or writing, is also considered a plus, as it demonstrates familiarity with research workflows and scientific communication.
报名方式
招生人信息
Dr G Deganutti
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