Postdoc in Computational Biology
il y a 1 mois
**Project description**:
Soybean (_Glycine max_) is one of the most important protein sources in human food and animal feed. Europe is highly dependent on the import of soybean, often from (sub)tropical areas where soybean cultivation is one of the main drivers of deforestation. Establishing European soybean production at scale may not only help curtail deforestation in crucial ecosystems such as the Amazon, Cerrado and Gran Chaco, but would also reduce Europe’s dependence on soybean imports, reduce the associated carbon footprint and facilitate the ongoing transition to more plant protein and less animal protein in the European diets. Moreover, in symbiosis with nitrogen (N)-fixing bacteria (rhizobia) inside root nodules, soybean can manage its own N nutrition, reducing the need for N fertilization. In combination with a reduced import of soybean products (and the associated N) from overseas, local and circular soybean cultivation may help mitigating some of the N pollution issues in Europe. Although soybean is predominantly a (sub)tropical crop, soybean varieties that are better adapted to more temperate climates with cold springs, such as those found in Northwestern (NW) Europe, have already been bred. However, the current commercially available rhizobial inoculants needed to establish N-fixing nodules on soybean roots are based on non-endemic rhizobial strains that are poorly adapted to local environmental conditions, causing soybeans cultivated in NW Europe to have suboptimal and variable yield and protein content. The aim of this project is to assess whether using endemic rhizobia as soybean inoculants instead of exotic strains improves soybean yield, protein content and yield stability.
**Profile**:
- You have a PhD in Computational Biology, Biotechnology or Bioengineering.
- You have excellent project management and communication skills and you like to take initiative.
- You have solid expertise in machine learning, analysis of genomics data and data integration. Hands-on experience with microbiome data analysis is a plus.
- You are fluent in English (spoken and written) and master several programming languages.
- You found a good balance between working in a team and working independently.
- You are meticulous, well-organized, responsible and self-critical.
- You have a passion for science and you can think outside the box.
**We offer**:
- A 3-year postdoc position with an attractive salary.
- An exciting work environment in a top research institute.
- The opportunity to be part of a dynamic, interdisciplinary and international team.
- A challenging project with high societal value.
- Ample opportunity to learn new skills.
**How to apply?**:
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