PhD fellowship: Prostate cancer progression to metastatic disease
A 3-year PhD fellowship is available in the subject of Prostate cancer progression to metastatic disease led by associate professor Martin K. Thomsen, at Department of Clinical Medicine, Aarhus University, Denmark. The project is funded by The Danish Cancer Society and will be carried out in collaboration with MOMA and Department of Urology at Aarhus University and Erwin Wagner’s group at CNIO (Madrid).
The project will develop a new mouse model of metastatic prostate cancer by using advanced genetic mouse models. Hereby this project will identify key factors in prostate cancer progression and homing to the bone of the metastasising cells. This will be carried out by analysing samples with NGS in combination with characterization of the cancer and both cellular and non-cell autonomous factors will be identified hereby. The candidate genes will be validated on human samples and finally their function will be assessed in vivo by CRISPR/Cas9 gene alteration.
The preferred candidate must have a strong interest in cancer biology and a desire to work with in vivo models. Furthermore, the techniques related to the project are broad, from bioinformatics to molecular skills and handling of mice including complicated operation. Therefore, a highly skilled candidate is needed with good learning skills and a positive mind set. During the PhD study, it is expected that part of the project will be carried out at a collaborator, which will include some traveling. In addition, the candidate must have a relevant master’s degree, and preferably experience with laboratory work and mouse handling. The content of the PhD programme also includes completion of PhD courses (in total app. ½ year), active participation in journal clubs and annual PhD day as well as teaching experience. More details on the PhD programme can be found here http://talent.au.dk/phd/health/phdstudystructure/
Main supervisor is Associate Professor Martin K. Thomsen, PhD.
The candidate cannot be employed before the project and candidate has been approved at the PhD school at The Graduate School of Health, Aarhus University, which has application deadline in September 2016 http://talent.au.dk/phd/health/. Expected starting date will be January 1, 2017.
Further information regarding the fellowship can be obtained by contacting Martin K. Thomsen at firstname.lastname@example.org.
Applications must contain the applicant’s CV, motivation letter, list of grades, plus name, address and at least one letter of support, and should be mailed to Martin K. Thomsen at email@example.com, no later than August 15, 2016.
Interviews will be held from the 16 to the 30 of August 2016.
PhD position in register-based diabetes epidemiology at the Department of Public Health, Aarhus University
The department of Public Health at Aarhus University is looking to appoint a PhD candidate (PhD student) in the field of diabetes epidemiology, with a focus on register-based studies of multi morbidity in patients with type 2 diabetes.
Type 2 diabetes is not only associated with an elevated risk of cardiovascular disease and microvascular complications (diabetic neuropathy, nephropathy and retinopathy), but also with other chronic diseases such as depression and cancer.
This PhD project aims to describe and understand the occurrence of other chronic conditions and their determinants among patients with type 2 diabetes in Denmark, based on linkage of Danish registers and linkage between registers and extant Danish cohort studies. In collaboration with an ongoing project that maps family and social links in the Danish population, a second aim will be to investigate the pattern of familial/social clustering of diabetes related multi morbidity.
The successful candidate should have a strong academic background. Prerequisites are:
- A completed degree in mathematics, statistics, epidemiology, human medicine, biomedical sciences or public health
- Fluency in spoken and written English
- A strong interest in diabetes epidemiology and in the application of novel statistical methods in large-scale datasets
- An inquisitive mind-set and the ability to plan, organise and execute work independently
Strong assets include:
- A completed MSc-level thesis
- Authorship of peer-reviewed publications
- Experience in using statistical software such as SAS, R or Stata
- Experience with the presentation of research results
The candidate will work at the section for Epidemiology, Department of Public Health, University of Aarhus, in close collaboration with Prof Daniel R. Witte (AU), Dr. Rebecca Simmons (AU and MRC Epidemiology Unit, Cambridge) and Dr. Adam Hulman (AU).
The PhD fellowship project must be ready for application for enrolment in the November application round at The Graduate School of Health, Aarhus University (http://talent.au.dk/phd/health/). It is a requirement that the candidate and the project is accepted for enrolment to be able to start the PhD fellowship.
For further information, please contact Daniel Witte: firstname.lastname@example.org.
Applications must contain the applicant’s CV, motivation letter, list of grades, plus name, address and phone number of at least 1 referee, and must be sent by email to email@example.com by 29/07/2016 at the latest.
Interviews will be held between 1 and 12 of August in person or via Skype