Depression poses a huge burden to patients, their families, and society as a whole. Current treatments of depression are provided on a trial and error basis, and only benefit a minority of patients.
The BOOST depression consortium is a large-scale multi-center project funded by The Dutch Research Council. The broader aim of this project is use artificial intelligence to develop biomarkers that can predict treatment outcomes, selecting the best treatment for each patient. We hope that we can double the success of treatments, shorten treatment paths, and reduce healthcare costs.
Within the Boost depression consortium we are seeking for a PhD student that will assist with the data collection at Amsterdam UMC, location University of Amsterdam, and whose research will focus on improving genetic and epigenetic markers related to the treatment of depression.
This PhD project encompasses two key responsibilities:
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Data Collection: As a PhD student, you will be actively involved in gathering data from patients (~200) who are receiving treatment for depression. You will be assisted by a Research assistant. This data collection process will encompass a variety of techniques and methodologies. You will be responsible for acquiring MRI measurements and conducting EEG recordings. Additionally, you will administer questionnaires to patients and collect buccal swabs for DNA genotyping and methylation analysis. Comprehensive training will be provided to equip you with the necessary skills and knowledge for these tasks.
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Statistical Genetics Research: The second crucial aspect of your role will be to conduct advanced statistical genetics research. The PhD student will use large-scale existing genetic and epigenetic datasets and advanced genetics methodology to identify relevant genetic and epigenetic biomarkers that can improve the treatment of depression. The PhD student will co-develop the research projects, analyse large-scale data, write up scientific manuscripts, present at conferences, and communicate with stakeholders, and the four year project will result in a thesis. In particular, you will be conducting innovative genetic analyses using existing databases and biobanks.