As a postdoc you are actively involved in data management and data analysis within CONCRETE. You will write scientific paper(s) based on the advanced analyses and we will encourage that you will write or will be involved in a follow-up grant application based on experience and results.
Furthermore you are responsible for:
- multi-source data management within CONCRETE;
- advanced data analysis (complex statistics, machine/deep learning, visualization) of CONCRETE results;
- writing scientific paper(s) based on the advanced analyses;
- (being involved in) writing a follow-up subsidy application.
In the CONCRETE project
we investigate whether general practitioners are more likely to make an early diagnosis of coronary heart disease (CHD) when they have access to the calcium score test. The calcium score, based on a low-dose computed tomography (CT) scan, tests the calcium content in the coronary arteries and is a very sensitive test for CHD. A total of 100 GP practices are participating. CONCRETE wants to show that the GP can detect or rule out CHD in an inexpensive and effective way with the CT scan. In recent years, hundreds of patients have been included in the study. For advanced analysis of the extensive data from various sources (including described complaints, risk factors, clinical data, and calcium score data) we are looking for a postdoc with experience in complex statistics or experience in machine learning / deep learning. The outcome of the analyzes is more insight into clusters of factors, or patient profiles, that are related to early stages of CHD.
The CONCRETE project is subsidized by the Heart Foundation. The current vacancy falls within the Talent Development work package.