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Researcher/Postdoc in Data Science and its Applications

German Research Centre for Artificial Intelligence (DFKI)

Kaiserslautern, Germany

Application Deadline

The Data Science and its Applications research department at the German Research Centre for Artificial Intelligence (DFKI), based in Kaiserslautern, Germany, is looking for enthusiastic postdoctoral researchers to contribute to a large research project on applying AI methods to high-dimensional biomedical data to promote an understanding of biological processes associated with cardiovascular illness.

This exciting project involves highly granular data collected as part of the Gutenberg Health Study — a prospective cohort study of a representative sample (N=15,000) of the population of Mainz — including genotyping, DNA methylation, transcriptomics, proteomics and extensive time-varying clinical information. Our primary goal is to understand the processes behind cardiac events, including atherosclerosis and atherothrombosis. This depends upon a comprehensive characterization of clinical samples, to decipher complex pathophysiological mechanisms in different disease settings. Hence the task—at the confluence of modern biomedical research and artificial intelligence—will exploit multi-dimensional datasets of protein, lipid and metabolite levels, together with bioinformatics workflows, machine learning and multi-omics data integration.

To achieve this, we are looking to expand our diverse and growing team, and we are looking for two senior researchers (postdocs), to work with us at the forefront of biomedical research.

Applicants should hold a PhD in data science, bioinformatics, statistics, computer science or a related quantitative discipline, with either experience applying machine learning to high-dimensional data, or demonstration of the ability to do so. Strong skills in Python, R or Julia and machine learning frameworks (such as PyTorch) are desired, along with the ability to work collaboratively in an (English-speaking) multidisciplinary team. We are especially keen to hear from candidates with demonstrable knowledge in one of the following areas: knowledge graphs, transfer learning (especially on -omics data), explainable AI, representation learning or hybrid/mechanistic machine learning, or with a background or interest in molecular biology, bioinformatics or biostatistics.

We offer the opportunity to work on an impactful project in a multidisciplinary, diverse, international and motivated team, on highly topical scientific and societal issues using established biodatabases. Job holders receive a competitive salary and benefits, with flexible working hours and the ability to work from home, as well as access to an excellent network of contacts in industry and research.

For more information, visit the DSA web site at

To register your interest, submit your CV and cover letter via, selecting 'position (external)' and 'Postdoc/Senior Researcher' in the form.

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