Our institute, with a long-standing expertise in AI for medicine, is
seeking motivated researchers to develop and evaluate deep learning
methods for detecting and segmenting laryngeal cancer.
You will work on an interdisciplinary research project, develop
clinically applicable software to support physicians, and contribute to
clinical studies.
*Your profile:*
* Master's degree with excellent grades in computer science or related
fields (e.g., engineering, apllied math),
* very good programming skills (Python, C++),
* excellent knowledge of machine learning methods and frameworks,
* very good understanding of medical imaging processing,
* excellent English language an scientific writing skills are required
(at least C1), German is a plus
*We offer:*
* A fully paid research position (TV-L, E13),
* in addition to the project duties the opportunity to obtain a PhD,
* you will be part of an interdisciplinary team and collaborate with
academic and clinical partners,
* work on state of the art AI methods with meaningful purpose,
* we provide room to grow an to implement your own ideas
Find out more here: https://stellenportal.tuhh.de/3pwk4
And apply here:
https://stellenportal.tuhh.de/de/jobposting/7c0823642f7fefc7848e7ca4ebab060c8edd5b5c0/apply
The position is fully funded for a maximum term of three years.
For additional questions, please contact Prof. Alexander Schlaefer
(schlaefer@tuhh.de)
Prof. Dr.-Ing. Alexander Schlaefer
Institute of Medical Technology and Intelligent Systems
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec
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