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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings
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regarding the position, please contact Prof. Dr. Renata Motta via hcias-jobs@uni-heidelberg.de . Further information on the HCIAS can be found at www.hcias.uni-heidelberg.de/en . We look forward to receiving
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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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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. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .
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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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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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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings