Research assistant / PhD student (gn*) biology, bioinformatics, mathematics or statistics
In an interdisciplinary research project, we want to investigate whether we can predict antibiotic resistance based on known information about the pathogen (e.g. mass spectrometric profiles of bacterial proteins), the patient (e.g. previous illnesses, travel activity) and the environment (e.g. place of residence, season). To do this, you will extract microbiological laboratory data and prepare mass spectrometric measurement profiles for the machine learning (ML) algorithms. Different ML algorithms are developed and validated for each pathogen-antibiotic pair in cooperation with the participating institutes (Institute of Biometry and Clinical Research, Institute of Medical Informatics).
You can apply for this exciting project here.