208 application-programming-android-"Multiple" positions at Technical University of Munich
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07.08.2025, Wissenschaftliches Personal The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational
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learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable for disabled persons
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and consider their training as appropriate mean-field control problems. A special focus is given to the global optimization of nonconvex problems. Positions Available We invite applications for Doctoral
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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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, metabolomics and bioinformatics tools for application in biology, medicine, plant and food research within TUM and research partners outside the university. For the bioinformatics branch of this core facility
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard
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challenges, such as Global Urbanization, UN’s SDGs and Climate Change, thus, works on solutions that can scale up for global applications. We are involved in a large number of third-party projects and a large
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materials to advance the potential of biopolymers in various applications. Project description Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as
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energy sources. A proficient understanding of control systems, advanced data analysis skills, and strong programming capabilities are essential. Personal Attributes and Skills: The role demands a candidate
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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