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Survey, Questionnaire, Feedback

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thus enhance the quality of treatment for patients during their stay and after hospital release. contact: Axel Weiser +49 511 532-4927 Weiser.Axel @ mh-hannover.de

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Baoyu Zhou

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Baoyu Zhou Doctoral student (M.Sc.) Copyright MHH, MZP, Baoyu Zhou Contact ►Baoyu Zhou Tel: +49 511 532 -3803 (office), Fax: +49 511 532-161215 address: 30625 Hannover, Carl-Neuberg-Str.1 building J03

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Jersey auction

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possible! The remaining jerseys are still available for the good cause. If you are interested, please contact the Spieloase by e-mail at spieloase @ mh-hannover.de or by telephone on 0511 532-9028. All proceeds

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IT specialist

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suitability of the application. School requirements: Secondary school, vocational baccalaureate Your contacts are: MHH Information Technology MIT - OE 8700 Jan Höpfel Tel: +49 511 532-4069 Jan Höpfel Annemarie

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Forensic Medicine MHH

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certificate". If you cannot find the information you require on these pages, please do not hesitate to contact us by telephone or e-mail . You can reach us by telephone from 8:00 a.m. to 4:00 p.m. on 0511 532-4570

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kidney transplantation training nephrology

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to an interesting exchange. Yours sincerely, PD Dr. Christian Hinze Prof. Dr. Dr. Kai Schmidt-Ott Contact: Ms. Sigrid Altenhofen Clinical Department of Nephrology and Hypertension T. 0511 532 6319 F. 0511

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Cooperation for OTA/ATA training

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Learning support through e-learning during the practical phases and to supplement lessons Fixed contact person during the apprenticeship Preparation and acceptance of all examinations Arrangement of a

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Gynecological outpatient clinic

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The gynecological outpatient clinic For many of our patients, the first contact with our women's clinic is usually in the gynecological outpatient clinic. With a referral from a gynaecologist , women have

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eLearning in student teaching

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send general questions about the use of ILIAS at the MHH by e-mail to: elearning @ mh-hannover.de Contact for further questions: Dr. Marianne Behrends | Tel.: 0511-532-3510 | Behrends.Marianne @ mh-hannover

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Machine Learning Working Group

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means that costs can be drastically reduced and a much larger group of patients can be examined. Contact person Dr. med. Hinrich Winther

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