PhD Student (gn*) Computational Biology

We are looking for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A master's degree in (Bio-)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing datasets with multi-omic data. Subsequently, these models will be applied to clinical cohorts of individuals suffering from mental illness to perform patient stratification, discovery of new biological mechanisms and stratified drug target identification, empowering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable.