PhD candidate in the automated detection of measurable residual disease in hematological malignancie
PhD candidate in the automated detection of measurable residual disease in hematological malignancie
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Job Description
The Saeys lab at the Inflammation Research Center (VIB) Ghent Belgium is offering an exciting PhD student position focused on the development of a computational cytometry detection method of measurable residual disease.
Join our vibrant research environment and contribute to pioneering projects in bioinformatics and computational biology!
Project overview
Measurable residual disease (MRD) is an important negative prognostic factor for the risk of relapse in multiple hematological malignancies and is frequently detected using flow cytometry. The aim for this position is to develop a universal computational pipeline for objective accurate and automated detection of MRD in multiple hematological malignancies (acute lymphoblastic leukemia (ALL) multiple myeloma (MM) and acute myeloid leukemia (AML).
What you will do
- Apply and adapt existing algorithms or develop new algorithms and investigate their suitability in the detection of MRD in multiple hematological malignancies.
- Integrate these algorithms in an automated pipeline and validate them on various internal and external datasets.
- Develop a graphical user interface for direct applicability in the clinic in close collaboration with laboratory specialists and clinicians
Profile
- You obtained a Masters in Computer Science Artificial Intelligence Bioinformatics Engineering Bioengineering or equivalent.
- Background in AI (deep learning probabilistic modelling generative AI) or machine learning
- Proficient in Python or R programming
- Strong communication skills in English
- Strong interpersonal skills
- Ability to work independently and as part of a team
We offer
- Competitive stipend and benefits package
- Fully funded PhD scholarship but encouraged to apply for a national PhD fellowship (e.g. FWO)
- A versatile and challenging academic position with very diverse contacts in a worldclass research environment operating at an international level and various opportunities to broaden your expertise.
- Access to stateoftheart compute & GPU infrastructure
- Collaborative and supportive research environment with expertise in both the generation (wetlab) and the analysis (drylab) of highend cytometry data.
- Attendance of national and international conferences
- Training courses in academic technical and career skills.
How to apply
Please complete the online application procedure and include a detailed CV two reference letters and a motivation letter.
For further information and questions please send an email to Yvan Saeys ().
Employment Type
Full Time
