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Field
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biology, and cancer research, including foundation models, graph-based learning, and mechanistic modeling. The successful candidate will drive independent research programs, develop novel computational
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develop well-documented open source code implementing algorithms for general use and contribute to the production of scientific reports and publications for high profile journals, including taking
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by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain
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22 Jul 2026 Job Information Organisation/Company Johannes Kepler University Department Institute of Medical Systems Biology Research Field Computer science » Informatics Researcher Profile
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on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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Directions Biological Big Data: data governance, knowledge mining, multi-omics data integration, etc. Tools and Algorithms: sequence analysis, structure prediction, single-cell and spatial omics algorithms
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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biology with extensive experience analyzing omics data. Strong background in programming, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working
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prevention strategies and innovative therapeutic interventions. Research areas of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine