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Organization Description
Philips Research
Philips Research is the source of many advanced developments in Healthcare,Lifestyle and Technology. Building on 90 years’experience in industrial research and our world-leading patent position, we’re dedicated to
meaningful innovations.
In the healthcare domain, we are enhancing imaging and monitoring systems,as well as exploring innovative personal healthcare. In lifestyle, we’re helping people see, hear, remember and share content, anywhere and anytime.Our vision focuses on simplicity, making technology an integral – but invisible – part of everyday life.
Responsibility:
1. Review existing image processing algorithms especially for ultrasound breast. The algorithms include de-noise, segmentation, feature extraction,etc.
2. Implement and compare algorithms, and work together with the team to develop in-house image segmentation algorithm for specific use
3. Work in close collaboration with clinical partner to manage and process the data and optimize the algorithms based on the clinical feedback
4. Generate intelligent properties and publications
Qualifications/Requirements:
1. Majored in biomedical engineering, electrical engineering or computer science, minimum is master degree, a PhD degree is preferred, and publication in leading international conferences/journals is a plus
2. Have solid background in medical image processing, numerical analysis,pattern recognition & signal processing, experience with ultrasound medical image segmentation is highly desirable
3. Rapid prototype development of new algorithmic ideas and concepts is highly desirable
4. Familiar with medical ultrasound modality, especially understand the principle of ultrasound imaging well
5. Proficiency in a high level programming language matlab is required, c/c++/c# is plus, knowledge of databases (SQL, Oracles…) is plus
6. Fluent in English, hard-working, strong communication skills, and ability to work independently and with an interdisciplinary team.
Interested candidates please send your resume to Emily Qian at E********[email protected], and specify where you see this position advertised.For more information please refer to
http://www.rencai8.com/corp_info?company_id=832845 |
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