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Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction
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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw
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). On the research side (www.denkglobaldx.org), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data
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samples which are complemented by DNA methylation, DNA and RNA sequencing as well as clinical data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research
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of geneomic and transciptomic analyses Dry lab bioinformatic analyses of genomic and transcriptomic data sets Your profile Enthusiastic about discovery and translational research Working knowledge of English
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publications, diplomas, a two-page research proposal and contact information of two persons who can provide a reference letter. Please send your application electronically (one pdf-document
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of care Wide range of health, prevention and sports offers Contact & Application For further information please contact Prof. Carsten Müller-Tidow or Annette Becker (scientific coordinator) via e-mail or
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data