222 Jobs

Integration of multi-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome, and transcriptome data) by using efficient algorithms and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development of this working group to support the Food Systems Biology approach at the Leibniz-LSB@TUM Acquisition of third-party funding and scientific management of the research projects conducted within the working group Supervision of doctoral candidates and students in conducting independent scientific research Establishment of collaborations within the Leibniz-LSB@TUM and with external collaboration partners Publishing scientific results in (high-impact) journals with a peer-reviewed process