211 application-programming-android positions at Technical University of Munich in Germany
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Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results Publication of results in scientific outlets (journals, conference
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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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interested in an exciting and responsible position where you can actively shape the future of our imaging research group? Then we look forward to receiving your application. For more information about the
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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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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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background in automation; background in business administration or management studies is beneficial • Programming skills, especially IEC 61131-1 and a high-level programming language such as C#, Java
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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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University of Munich (TUM) welcomes applications for a Postdoc Position in Representation Theory m/f/d, initially for two years, 100% position starting October 01, 2025 or later. The position is based within
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• Experimental investigations using atomic force microscopy (AFM), including force-distance curve-based imaging, (single molecule) force spectroscopy, nanomechanics, and associated data analysis • Application
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candidate will become a key member of a strong interdisciplinary team of bioinformatician that focus on the development and application of novel approaches in proteomic research. Specifically, the successful