Leading Metabolic Network Researcher
Embark on an exciting journey as a researcher in metabolic network modelling and computational epigenomics. Develop innovative approaches to integrate epigenetics and metabolism, pushing the boundaries of current knowledge. Utilize machine learning algorithms and analytical techniques to uncover novel insights from large epigenome datasets. Share research findings through presentations at international conferences and publications in prestigious journals. Collaborate with colleagues and collaborators to achieve shared research objectives and contribute to teaching activities at the University of Luxembourg.
Requirements
* A master's degree in Systems Biology, Computational Biology, Bioinformatics, or a related field.
* Experience in omics data analysis, particularly in epigenomic and transcriptomic data.
* Prior experience in molecular biology is advantageous.
* Self-motivation, strong commitment, and ability to work effectively in a team are essential.
* Fluent written and verbal communication skills in English are mandatory.