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Position: Postdoc (m/f/d) - Multi-task deep learning for multimodal image analysis
Institution: Helmholtz-Zentrum Geesthacht - Zentrum für Material- und Küstenforschung GmbH
Location: Geesthacht, Schleswig‐Holstein, Germany
Duties: development of multi-task learning solution for image enhancement, segmentation and registration; development of a unified framework for multi-task analysis of multimodal data; close collaboration with project partners to ensure knowledge transfer regarding image processing tasks; deployment of algorithms and framework at the HPC cluster at PETRA III at DESY; performance evaluation of algorithms and framework; application of algorithms and framework on biomedical data (and other); development of a common data format or solutions to facilitate access and exchange of data between partners; preprocessing and databank integration of multimodal data sets
Requirements: PhD in Physics, Mathematics, Scientific Computer Science or in a related discipline; strong background in deep learning and software/algorithm development; experience in imaging; experience in multi-modal data analysis; experience in multi-task learning; working knowledge of image processing (segmentation, image enhancement, registration); excellent oral and written English skills
   
Text: Postdoc (m/f/d) Multi-task deep learning for multimodal image analysis Reference code: 50012250_2 - 2020/WB 1 Commencement date: as soon as possible The place of employment is Hamburg (outstation at DESY). Research at HZG in the field of “Metallic Biomaterials” focusses on the development of biodegradable Mg-based alloys and implants by the optimization of mechanical, biological and degradation properties for specific applications. To this end, it is crucial to understand the mechanisms governing the interactions between microstructure, mechanical properties, biology and degradation. In the long run, such an understanding will enable the manufacturing of implants tailored to the specific needs of individual patients. To achieve this, large amounts of multimodal biomedical image data (laboratory / synchrotron CT, MRI, histology, SAXS etc.) have been acquired which have to be processed and analyzed. In order to process and analyze these multimodal data, you will develop a unified framework that enables a quick and efficient implementation and application of common image processing tasks. Within this project, we focus on the tasks of image enhancement (reduction of artefacts, noise, etc.), segmentation and registration. Multi-task learning solutions will be employed in order to simultaneously address these tasks and to exploit synergetic effects. The unified framework shall facilitate the application of these multitask solutions across domains and modalities. The position will initially be limited to three years. Your tasks Your profile We offer you The promotion of equal rights is a matter of course for us. Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements. The Helmholtz-Zentrum Geesthacht (HZG), in Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. For further information please refer to: www.hzg.de HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 1,000 employees carry out basic research and development work in close cooperation with national and international research institutions, research-oriented clinics and economic and public institutions. At the Institute of Materials Research some 200 scientists conduct research in the five sub-institutes "Materials Mechanics", "Materials Physics", "Materials Technology", "Magnesium Innovation Centre MagIC" and "Metallic Biomaterials". For further information please contact Dr. Julian Moosmann (julian.moosmann@hzg.de) Interested? Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number code no. 2020/WB 1. Apply now Application deadline: March 10th, 2020 Job location: Hamburg Contact: Ms. Erika Krüger development of multi-task learning solution for image enhancement, segmentation and registration development of a unified framework for multi-task analysis of multimodal data close collaboration with project partners to ensure knowledge transfer regarding image processing tasks deployment of algorithms and framework at the HPC cluster at PETRA III at DESY performance evaluation of algorithms and framework application of algorithms and framework on biomedical data (and other) development of a common data format or solutions to facilitate access and exchange of data between partners preprocessing and databank integration of multimodal data sets project management tasks publication of scientific results in international scientific journals & presentation of scientific results at international conferences and workshops PhD in Physics, Mathematics, Scientific Computer Science or in a related discipline strong background in deep learning and so
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