207 application-programming-android positions at Technical University of Munich in Germany
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for the civil service of the country (TV-L E13). The position is limited to four years and can start in August 2025 or upon agreement. TUM aims to increase the number of women employees, and applications from
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, unlabeled spectral data, and subsequently fine-tuned on labeled datasets for specific applications such as disease diagnosis and metabolic health assessment. With this approach, the project seeks to establish
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19.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at Technical University of Munich (TUM) invites for applications for the position of a Research Associate (Doctoral Student). M
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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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interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based materials to advance the potential of biopolymers in various applications. Project description
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13.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at the Technical University of Munich (TUM) invites applications for the position of a Research Assistant (Doctoral Student). M
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per E-Mail mit dem Betreff „PostDoc application“ oder „PhD application“ an application@zachegroup.com . Ihre Bewerbung sollte folgende Unterlagen enthalten: • Motivationsschreiben (max. 1 Seite
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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pleasant and enthusiastic working atmosphere. An interesting, exciting, and varied position in an international university environment in Freising. Your application Please send your application or questions
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written