PhD candidate for Spatial multi-omics data integration

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 VisiumHD generated at the VIB.
• Develop new computational methods and tools for spatial omics data analysis.

Profile

Essential

• You obtained a Masters in Computer Science Artificial Intelligence Bioinformatics Physics 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

Desirable but not required

Preference will be given to candidates with experience with

• experience with processing scRNAseq or spatial transcriptomics data
• experience with highperformance 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 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
• 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 ().