PhD Position in Plant Biotechnology and Bioinformatics
Ghent University Department of Plant Biotechnology and Bioinformatics

PhD Student in Plant Biotechnology and Bioinformatics

Last application date
Aug 31, 2020 09:16
WE09 - Department of Plant Biotechnology and Bioinformatics
Employment category
Doctoral fellow
Limited duration
You hold a Master degree in either Bioinformatics, Informatics, Physics, Mathematics, Engineering, Bioscience engineering, or an equivalent degree.
Occupancy rate
Vacancy Type
Research staff

Job description

PhD fellowship network-analysis for precision oncology

IDLab/IMEC (Dataintegration & Biological networks subgroup, UGent) has an open position for a PhD fellowship (4 years) in the domain of precision oncology. The goal of the PhD research is to develop and apply data analytics to study the evolution of metastatic cancer in order to identify prognostic biomarkers. Hereto innovative methods need to be developed that integrate genomic information derived from cohorts of tumor samples with clinical information (e.g., therapy outcome). The focus will be on studying the added value of graph based-analysis for feature extraction and patient stratification. The research will be performed in close collaboration with clinicians, experts in molecular diagnosis and software engineers to facilitate the transfer of the developed methods to a clinical setting.

Profile of the candidate

The candidate should show

  • A strong interest in interdisciplinary research
  • Knowledge of computer science and/or machine learning and/or statistical/mathematical modeling and/or bioinformatics
  • Interest in biology or molecular biology
  • Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems.
  • Fluency in spoken and written English

The ‘Dataintegration & Biological networks’ group headed by K. Marchal is located at the engineering faculty of Ghent University (IDLab/IMEC). The group’s research focus is on bioinformatics method development. The group is specialized in combining advanced datamining/machine learning techniques with biological principles. and

How to apply

To apply, forward a copy of your CV, a motivation letter and contact information for two references, to the following email address Application deadline: August 15, 2020, Tentative start date: October 2020.

Duration: 4 years

Students that are interested in starting in 2021 can also apply.


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