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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26957 Mathematical Modeller (PhD/Postdoc) – Diagnostics for respiratory infections (m/f/d) PhD
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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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multiple countries. Your profile: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or related field Experience with high-throughput genomic data analysis Experience in machine
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and contribute to publications your profile MD or PhD in biology, biochemistry, molecular biology, or equivalent Strong expertise in molecular biology techniques including Western blotting
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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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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 experiments in the framework of the scientific project plan Preparation and presentation of project reports and publications Your profile PhD in biology, biochemistry or equivalent Broad expertise in basic cell
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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