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PhD project

Combined Deep learning and Advanced Imaging for Improved Individualized Radiotherapy Target Definition in Glioblastoma Patients. A National DNOG study

Call for applications for a fully financed PhD.

Problem

Glioblastoma is the most aggressive infiltrative form of brain cancer with a very poor prognosis. It infiltrates the healthy tissue in the brain and current imaging is unable to visualize this microscopic extent of the tumor. Current radiation treatment strategies is therefore to add a large isotropic marging around the visual tumor to include all we cannot see. From relapse imaging we know that this strategy is suboptimal since it includes too much unnessecary healthy tissue with unwanted side-effects to follow and often the relapse location extends beyound the current treated emargin.

Potential solution

A potential improvement would be to individualize the target based on advanced imaging, tumor location, anatomical barriers and known prognostic parameters  - making the treatment more tolerable and more accurately place the radiation dose it is most needed. Previous studies showing the potential of this technique have been done within our group and the next natural step is to further validate this method in a larger population of patients. This will rely on a coordinated effort between all brain cancer treating centers in Denmark and you will become an integrated part in this national collaboration.

Assignments/Expectations

In this position you will be working to improve on an existing tumor growth model that includes all relevant information (imaging and clinical) using mathematical modelling and advanced Deep Learning techniques. The national protocol collecting pretreatment advanced imaging, recurrence imaging and relevant radiation data on 300 prospective patients is being initiated. Collecting, currating and analysing this data will also be a integral part of your job. The main goal will be to take this method to the next level and make it ready so we can confidently part with our existing strategy and improve the treatment for brain cancer patients.

Work and collaborators

This multidisciplinary project will take place at the Aarhus University Hospital, and is housed at the Danish Center for Particle Therapy. The project will be solidly anchored in the Danish Neuro Oncology Group and you will be embedded in the re-search group of associate professor Jesper Kallehauge (https://www.linkedin.com/in/jekallehauge/). The group is part of the joint oncology research environment, where over 30 PhD students and postdocs and more than 10 senior full-time researchers are working together.

If you want to be part of a large national project that aims to change the current practice of treating brain cancer patients and you like to work with people that are ambitious and driven, in a vibrant and fun environment, we encourage you to apply for this position    

Qualification

  • Master degree in physics, medical physics, biomedical engineering, computer sci-ence, or equivalent 
  • Prior experience in MR image acquisition will be an advantage      
  • Prior experience in programming is highly desired (Python, Matlab, or C++)
  • Fluency in English (oral and written)

How to apply

Please submit your application via this link. Application deadline is 1 August 2021 23:59 CET.

Shortlisting will be used. Preferred starting date is 1 October 2021.

For information about application requirements and mandatory attachments, please see our application guide 

Further information

If you have any questions about the position, please contact Jesper Folsted Kallehauge, jespkall@rm.dk 

 All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.