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Die Medizinische Hochschule Hannover (MHH) sucht eine/n Postdoktorand/in zur Entwicklung und Optimierung einer MALDI-TOF-Datenplattform. Sie arbeiten an Architektur, Backend/Frontend, Visualisierung und Nutzer-Workflows in einem multidiszipline4ren Umfeld.
Sie publizieren in Fachzeitschriften, arbeiten eng mit Partnern aus AI/Datend- und Mikrobiologie zusammen und betreuen Bachelor/Master-Studierende. Die Stelle bietet eine Zweijahresbefristung mit Aussicht auf Verl8$r.
Die Medizinische Hochschule Hannover (MHH), mit rund 10.000 Beschäftigten größter Landesbetrieb des Landes Niedersachsen, ist eine universitäre Einrichtung für Forschung und Lehre in der Human- und Zahnmedizin und ein Universitätsklinikum der Supramaximalversorgung. Forschung, Lehre, Krankenversorgung und Administration arbeiten im Integrationsmodell auf dem MHH-Campus Hand in Hand. About Us The Hannover Medical School (MHH), with about 10,000 employees the biggest company of Lower Saxony, is a university institution for research and teaching in the human and dental medicine and a university hospital of supra-maximum medical care. Research, teaching, medical care and administration work hand in hand in the integration model at the MHH-campus. The Peter L. Reichertz Institute for Medical Informatics (PLRI) is one of the largest university centres for medical informatics in Germany. It belongs to two leading universities, is situated in one of Europe's most research-intensive regions, and offers excellent opportunities for research. In interdisciplinary projects, the PLRI collaborates with health centres, research institutes, corporations, and public institutions in order to shape the future of the health system and medicine. The activities range from diverse topics on the local level, to regional, national, and global collaborations.
The research group "Clinical Data Science" focuses on the detection of novel routine clinical and -omics biomarkers for disease diagnosis and prognosis to personalize and thus improve patient treatment. To achieve this, we integrate phenotypical information and routine clinical as well as (multi)-omics data by high-dimensional statistics and state-of-the-art artificial intelligence to gain novel insights into underlying disease pathomechanisms. Moreover, we are interested in developing and implementing research data platforms for complex (multi-)omics data. The project "MALDIDive: Enabling AI Research with Public MALDI-TOF Fingerprints across Microbial Diversity", to be carried out within an interdisciplinary research team and funded by the German Research Foundation, will establish a well curated data platform of MALDI-TOF mass spectrometry datasets from the Leibniz Institute German Collection of Mircoorganisms and Cell Cultures GmbH (DSMZ). We are looking for an enthusiastic PostDoc who is interested in omics data platform development and deployment for future AI use.