Institution
VIB Center for Plant Systems Biology/Ghent University
Location
Ghent, Belgium

Description
A position is available in the plant single cell platform embedded in the De Rybel Lab at the VIB Center for Plant Systems Biology (PSB), Ghent, Belgium. The candidate will strengthen and coordinate our platform to provide single cell applications to internal users at VIB/Ghent University and external collaborators. The candidate will also lead technology development in the area of plant single cell omics, and will be responsible to regularly communicate and present the scientific developments with industrial partners via our Plant Single cell Accelerator program.

Qualifications

• You are excellent at communication, reporting, and organisation.
• You have an MSc degree in plant biology or you recently obtained a PhD degree.
• You are eager to write small grant applications and invest in technology development.
• You are social and communicative and enjoy working in a dynamic team.
• You enjoy working with both academic and industrial partners or see this as a fun challenge.
• Experience and/or a key interest in plant single cell applications is required.

Please contact Bert De Rybel ([email protected]) for more information.

Institution
VIB-UGent Center for Inflammation Research
Open Date
October 15, 2021
Location
Ghent, Belgium

Description
The Data Mining and Modeling for Biomedicine group (headed by Yvan Saeys) at the VIB Center for Inflammation Research and Ghent University is located in the historical city of Ghent, Belgium. The Saeys lab is at the forefront of computational method development in single-cell omics and has a longstanding collaboration with many wet labs in immunology, oncology, and plant biology.  Recently, the lab has started a single-cell facility with advanced access to the newest single-cell multi-omics technologies (scRNA-seq, scATAC-seq, CITE-seq, and spatial proteomics and transcriptomics). A major focus of the lab is to model the dynamics of biological systems and characterize their underlying gene regulatory networks.  To this end, the lab develops new computational machine learning methods to improve the current state-of-the-art.

The successful candidate will be responsible for developing novel methods (including trajectory inference and gene regulatory network inference) on single-cell omics data. The current position is part of a collaboration with BASF, a leading company in the plant biotechnology field, and the lab of Bert De Rybel at the VIB Center of Plant Systems Biology.

Qualifications

• You obtained a Ph.D. in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent.
• Excellent track record in machine learning applied to the field of Bioinformatics
• Solid programming experience is required (Python, R).
• Experience with machine-learning/statistical analysis is required
• Experience with plant research and/or population genetics is a plus.
• Ability to work independently and in a team.