Project Overview
This PhD position is one of multiple positions within a larger project aimed at optimizing spatial omics analysis for a variety of biological applications. Your research will primarily focus on the integration of spatial omics data, working closely with leading experts. including the Martin Guilliams lab and the Chris Marine lab.
What you will do
- Analyze and integrate spatial omics data generated from advanced technologies such as MERFish Vizgen, MACSima Miltenyi, and 10X Visium-HD generated at the VIB.
- Develop new computational methods and tools for spatial omics data analysis.
Profile
Essential
- You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, 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
Desirable but not required
Preference will be given to candidates with experience with
- experience with processing scRNA-seq or spatial transcriptomics data
- experience with high-performance computing and software containers
- a background in systems biology
Key personal characteristics
- 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 world-class research environment operating at an international level, and various opportunities to broaden your expertise.
- Access to state-of-the-art compute & GPU infrastructure
- Collaborative and supportive research environment
- 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 ([email protected]).
