58 application-programming-android Postdoctoral positions at Technical University of Munich
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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the actual salary depending on academic experience, tax classification etc. Travel support for attending conferences, workshops, etc. will be available. Applications should be sent as a single PDF file via
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a
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position (pay group TV-L 13) is initially limited to 2 years. Further employment is possible and intended. Your application: We look forward to receiving your application by July 27, 2025. Please email it as
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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institutions. You support us in making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School
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the representation of women in science. Accordingly, we strongly encourage applications from qualified female candidates. How to apply Please send your application materials to office.nen@xcit.tum.de, with email
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We