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Postdoc – Computational Tissue Analysis (m/f/d) Stellenanzeige merken Stellenanzeige teilen searched for the Institute for Computational Biomedicine in Heidelberg. We are looking for a highly
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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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the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics data integration workflow. This unique position
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culture and analysis of patient-derived or iPSC-derived organoids Your Profile: We seek a highly motivated individual with an outstanding scientific background, excellent communication skills, and a passion
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Proficiency in bioinformatics, single-cell omics, or advanced imaging analysis Familiarity with functional readouts (e.g., MEA, calcium imaging, electrophysiology) is a plus Competitive applicants must have
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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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to develop an autonomous platform for organoid culturing and analysis to address key challenges in organoid-based experiments. This interdisciplinary project will leverage robotic systems for high-throughput
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, electronic health record data, and the re-analysis of clinical trial data. The researcher will be expected to publish in high-impact peer-reviewed journals. The postdoctoral fellow will have the opportunity
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methods, survey experiments, and qualitative analysis of in- and out-group identity formation using focus groups. The project covers seven European countries, selected from Northwestern Europe: France
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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