Graph Algorithm Researcher (m/f/x) - Virtual Patient Engine Heidelberg Vollzeit BioMed X GmbH AI / Deep Learning Specialist Hannover Vollzeit videantis GmbH Student Researcher, 2023 Berlin Vollzeit Google
UKE - Universitätsklinikum Hamburg-Eppendorf
Eppendorf
Better together. For life.
We are the University Medical Center Hamburg-Eppendorf (UKE) - and we stand for excellent competence in research, teaching and comprehensive healthcare in our clinics. Every day, our approximately 14,400 employees strive anew to make the world a little healthier with their contribution.
It is our aspiration to be one of the leading university hospitals - and at the same time the best employer in our industry. At UKE, for example, we firmly believe that successful and fulfilling work should be in harmony with employees' personal needs and individual lifestyles. And as diverse as these are, so is our range of individual solutions.
Welcome to the UKE.
The University Medical Center Hamburg-Eppendorf (UKE) is one of Europe's most modern clinics. Located close to the city center of Hamburg, the UKE fosters interdisciplinary research bridging medicine, basic and applied biomedical research, and teaching. Medical specialists and research scientists closely collaborate to develop and apply state-of-the-art technology to gain novel insights into human pathology and to provide optimal care for our patients.
The Group of Computational Pathology is part of the Institute of Medical Systems Biology (IMSB), and is a young team working on biomedical image analysis, in particular microscopy images. It is led by Prof. Dr. Marina Zimmermann. The group is also a member of bAIome, the Center for Biomedical AI (www.baiome.org), a platform at UKE where AI and clinical expertise team up with the aim of bringing next-generation software solutions into the clinic.
We currently offer a position in biomedical image analysis using deep learning and are looking for highly motivated students and graduates to complement our lively and enthusiastic team of scientists starting on 1st November 2023. Embedded in our group, the successful candidate will develop state-of-the-art deep learning-based algorithms and apply them to a wide range of medical problems.
The specific topic of interest is:
The application can only be considered if there is complete proof of immunisation or immunity against the measles virus in accordance with the applicable (legal and medical) requirements (at the latest by the start of employment). We kindly ask you to enclose such proof with your application documents.
Graph Algorithm Researcher (m/f/x) - Virtual Patient Engine Heidelberg Vollzeit BioMed X GmbH AI / Deep Learning Specialist Hannover Vollzeit videantis GmbH Student Researcher, 2023 Berlin Vollzeit Google
PhD student (f_m_x) Rock physics - GEOZEIT/HyPrepare project [english] Potsdam Vollzeit Deutsches GeoForschungsZentrum - GFZ PhD Student in Molecular Biology Heidelberg Vollzeit Deutsches Krebsforschungszentrum