Welcome to BuddyUp Việt Nam Buddy Up Việt Nam

Hãy đăng ký ngay bây giờ để có quyền truy cập vào tất cả các tính năng của BuddyUp Việt Nam !

Học bổng toàn phần tại đại học Manchester - Ngành Dược, Y khoa


New member
Aug 3, 2022
Bài Viết
Reaction score
Thông tin học bổng Ph.D. Toàn phần tại đại học Manchester (Rank 28 worldwide). Ngành Dược, Y khoa.
Hãy về với khối thịnh vượng chung Manchester.
Để tài về Dược động học quần thể (Population PKPD).
Giáo sư: Dr Kay, thầy rất vui và nhiệt tình. Team về PKPD của thầy cũng rất mạnh.
Thông tin chi tiết:
Development of Integrated population PKPD and PBPKPD models PhD Research Project Directly Funded Students Worldwide
Dr K Ogungbenro, Prof Leon Aarons
Application Deadline: 19 September 2022
Currently, clinical PK/PD models and PBPK models tend to be developed independently of each other with limited to no integration at all. Often the questions that are expected to be answered from these models are either common or complementary e.g. covariate testing, DDI prediction, PK in special populations, exposure-response relationship. Further research is warranted on methods to integrate these two types of models. Potentially, this will provide the ability to explain more of the unexplained variability in patient populations, allowing more informed and robust predictions, a better understanding of the exposure-response relationship and improve the efficiency of drug development. The overall aim of this project is to develop PK/PD and PBPK models for selected compounds and to compare key aspects of the two approaches; to investigate methods for integration of PK, PBPK and clinical effect models. The student will
• Develop physiologically based pharmacokinetic (PBPK) models and pharmacokinetic-pharmacodynamic (PKPD) models for selected compounds
• Integrate PBPK model with a PKPD model so that it can be used both to integrate knowledge obtained through drug development and be used in the clinic.
• Disseminate work through interactions with CAPKR consortium members and peer-reviewed publications.
Entry Requirements
Applicants are expected to hold or about to obtain, a minimum upper second class undergraduate degree (or equivalent) in pharmacy, pharmacology, mathematics, statistics, biological sciences, engineering or a related biological/physical science area. A strong mathematical background and/or a master’s degree in the relevant subject area is desirable. Masters degree and previous experience in data analysis and mathematical/computational modelling would be an advantage. The University of Manchester aims to support the most outstanding applicants from outside the UK. We are able to offer a scholarship that will enable a full studentship to be awarded to international applicants. This full studentship will only be awarded to exceptional quality candidates, due to the competitive nature of this funding. Please contact the supervisor before making an application.
Any enquiries relating to the project and/or suitability should be directed to Dr Kayode Ogungbenro. https://www.research.manchester.ac.uk/.../kayode...
For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (https://www.bmh.manchester.ac.uk/study/research/apply/). Informal enquiries may be made directly to the primary supervisor. You MUST also submit an online application form - choose PhD Pharmacy & Pharmaceutical Sciences.
Equality, Diversity and Inclusion
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website https://www.bmh.manchester.ac.uk/.../equality-diversity.../
Funding Notes
The project is funded by the Centre for Applied Pharmacokinetic Research. Studentship funding is for a duration of four years to commence in January 2023 or April 2023 and covers UK tuition fees and an annual minimum stipend (£16,062 per annum 22/23).