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Friedrich-Alexander-Universität Erlangen-Nürnberg in Erlangen is inviting applications for a postdoctoral researcher to lead method development in computational epigenetics. The project aims to infer upstream regulators of DNA methylation from matched expression and methylation data using ML, network modeling, and standard bioinformatics pipelines.
We offer a competitive TV-L based salary with potential for an annual bonus, 30 days of leave, pension schemes, and flexible working hours.
Department Artificial Intelligence in Biomedical Engineering
Biomedical Network Science Lab
https://bionets.tf.fau.de
We are launching a high-risk high-gain project in the field of computational epigenetics: Our aim is to develop computational methods to infer upstream regulators of DNA methylation from matched gene expression and DNA methylation data, using a combination ML, network-based modeling, and classical bioinformatics pipelines. If such upstream regulators exist at all is currently unclear, but if they do, they would constitute a new functional class of proteins that not only regulate a fundamental biological program but are also putative targets for novel therapies in diseases driven by aberrant DNA methylation. We are seeking a creative and highly independent postdoctoral researcher to lead the method development in this project.
Please provide the following documents with your application:
For all job postings, the following applies: Friedrich-Alexander-Universität promotes equal professional opportunities for women. Women are therefore expressly encouraged to apply.
Severely disabled persons as defined by the German Severely Disabled Persons Act will be given preferential consideration if they have the same professional qualifications and personal aptitude and if the advertised position is suitable for severely disabled persons. Details can be found in the respective job posting under "Remarks".
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All advertised positions are generally suitable for part-time work unless stated otherwise in the job posting.