Postdoctoral Researcher in Plant Virus Detection: Gembloux Agro-Bio Tech (GXABT), University of Liège, Belgium, is seeking a highly motivated Postdoctoral Researcher to join a dynamic and international team specializing in plant virus detection and characterization. The successful candidate will work on advancing virus detection using Oxford Nanopore Technologies (ONT) and apply machine learning models to explore virus biology, with a particular focus on banana viruses.
Postdoctoral Researcher in Plant Virus Detection and Characterization (HTS, Bioinformatics & Bioassays)
Summary Table:
| Field | Details |
|---|---|
| Designation | Postdoctoral Researcher |
| Location | Gembloux Agro-Bio Tech, University of Liège, Belgium |
| Duration | 1 year (Renewable for 2 years) |
| Start Date | July 2025 |
| Application Deadline | 28 April 2025 |
| Research Area | Plant Virology, HTS, Bioinformatics, Bioassays |
| Contact | sebastien.massart@uliege.be |
Designation:
Postdoctoral Researcher
Research Area:
- Plant Virus Detection
- Oxford Nanopore Technologies (MinION and Flongle)
- Bioinformatics and Machine Learning
- Biological Assays and Virus Characterization
Location:
Gembloux Agro-Bio Tech (GXABT), University of Liège, Belgium
Situated in the scenic countryside of Brussels and just 35 minutes from the city by train, GXABT offers a peaceful environment with close proximity to urban amenities.
Eligibility/Qualification:
- PhD in Virology, Molecular Biology, Bioinformatics, or a related field
- Experience with High Throughput Sequencing (HTS) technologies
- Proficiency in bioinformatics tools and analyses
- Strong communication skills and ability to work in an international, multidisciplinary team
- Attributes: curiosity, scientific rigor, autonomy, and collaborative spirit
Job Description:
The selected candidate will:
- Enhance virus detection and characterization using ONT technologies and innovative bioinformatics protocols.
- Investigate the biology of novel viruses through greenhouse-based bioassays (mechanical or vector-based inoculation).
- Contribute to the development and validation of machine learning models using proteomic and biological data of plant viruses.
- Support scientific management, including mentoring Master’s and PhD students.
- Engage in both formal and informal scientific exchanges within a vibrant international team working on plant virus epidemiology, ecology, and diagnostics.
How to Apply:
Submit your complete CV and a cover letter to:
📧 sebastien.massart@uliege.be
Last Date to Apply:
🗓️ 28 April 2025
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