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neuropathology. Establish a generalizable workflow for multi-omics data integration and interpretation that can easily be adapted for different tumor entities and applications. Your Profile A PhD in Bioinformatics
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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[max. 2 hours per week (per term/semester)]. Your profile: University degree (PhD / Dr. rer. nat. / Dr. Ing.) in the field of Physical Geography, Geoecology, Geoarchaeology, Environmental Sciences
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its detailed analysis through 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
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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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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