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Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in
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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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integrating single-molecule fluorescence detection and microfluidics Implementation of data acquisition and analysis software (programming) Methodological innovation and biological applications Who Should Apply
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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working with complex systems and troubleshooting. Proficiency in specialized instrumentation and data analysis, including the use of relevant software, is highly desirable. Strong analytical skills and the
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and computational workflows for chemical exposomics and metabolomics, with a strong emphasis on creating and maintaining open-source software and training resources. Scientific Context Humans
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset. Personal merits will play an important role in the selection process. Place of work