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Position: Post-Doc in Modeling Multi-modal Medical Data
Institution: Technische Universität München
Location: München, Bayern, Germany
Duties: Medical images provide wide opportunities for studying diseases. Yet, images alone are often not sufficient but the integration of adjunct data sources is required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice
Requirements: PhD in (Bio-)Statistics, (Bio-)Informatics, Computer Science or related disciplines; Strong background in modeling multi-modal data (images, tables, text, etc); Understanding of biases and causal inference; Experience with machine and deep learning; Programming experience with Python and Pytorch
   
Text: Direkt zum Inhalt springen Login Register | Support Hilfe Documentation Suche de | en MyTUM-Portal Technische Universität München Technische Universität München Home Neuigkeiten Neuigkeiten Kalender Kalender Wichtige Dokumente & Verwaltungsinfos Wichtige Dokumente & Verwaltungsinfos Jobs/Stellenangebote Jobs/Stellenangebote Online-Services & Logins Online-Services & Logins Schwarzes Brett Schwarzes Brett Kontakt & Hilfe Kontakt & Hilfe Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal > Post-Doc in Modeling Multi-modal Medical Data Zurück zu Nachrichten-Bereich Browse in News Post-Doc in Modeling Multi-modal Medical Data 18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is located at Klinikum Rechts der Isar, the university hospital of TUM, in the institute of radiology. We are affiliated with the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post-Doc (TVL E13) to join our team. Medical images provide wide opportunities for studying diseases. Yet, images alone are often not sufficient but the integration of adjunct data sources is required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics, (Bio-)Informatics, Computer Science or related disciplines Strong background in modeling multi-modal data (images, tables, text, etc) Understanding of biases and causal inference Experience with machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and spoken) Location The hospital is located in the city center of Munich near the river Isar. Munich is a vibrant technology hub with many cultural and recreational offerings, including the nearby Alps. Application Please send your application documents (CV, transcripts, cover letter) to christian.wachinger@tum.de. The position can start as early as 1. January 2023. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäss Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben. Kontakt: christian.wachinger@tum.de Drucken Finden Sie weitere Themen auf der zentralen Webseite der Technischen Universität München: www.tum.de Aktuelles Alle Meldungen Veranstaltungen Magazine Podcasts Coronavirus Studium Studienangebot Internationale Studierende Hilfe & Beratung Bewerbung & Einschreibung Studienfinanzierung Im Studium Studienabschluss Lehre & Qualitäts­management Kontakt Lebenslanges Lernen Executive and Professional Education Angebote für unsere Mitarbeitenden Angebote für unsere Studierenden Innovation in Lehre und Weiterbildung Publikationen und Medienbeiträge Kontakt Forschung Forschungsziele Projekte Unsere Partner Service für Forschende Innovation Entrepreneurship Industriekoopera­tionen Ökosystem München Patente und Lizenzen Community Campusleben Globales Netzwerk Alumni Spenden und Fördern Über die TUM Ziele und Werte Daten und Fakten Organisation Standorte Karriere und Jobs Fan der TUM? Kontakt und Anfahrt Jobs Feedback Presse Datenschutz Impressum Barrierefreiheit
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