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. This can be either a study year in Germany as part of your study programme at your home university or an independent project or complementary study course with a professor/an instructor in Germany. The
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research, especially using modern technologies such as additive manufacturing (3D printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios
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study programme at your home university or an independent project or complementary study course with a professor/an instructor in Germany. The connection to a university in the fields of art in Germany is
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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conducted in German. Full-time / part-time full-time part-time (study alongside work) Programme duration 9 semesters or more Beginning Winter semester Additional information on beginning, duration and mode
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English. You can write and defend your thesis in English or in German. The programme is designed to be completed in three years. During this time, defined milestones will help you and your supervisors
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opportunities within the university Yes Description of the above-mentioned funding opportunities within the university Please check our website on financial aid and scholarships: https://www.uni-stuttgart.de/en
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academic / professional and personal reasons for the choice of degree programme and for wishing to participate in the programme A current reference letter by a university professor that contains information
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programme must be submitted online. For more information, please see the website: https://www.scripts-berlin.eu/birt/bgts/bgts-application/index.html All required documents must be submitted online by
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help them establish contact to potential supervisors for subsequent doctoral degrees. Who can apply? Chinese graduates from all disciplines are eligible to apply. What can be funded? A research visit as