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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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Responsible planning and implementation of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation
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skills in agile project management and the application of workshop methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C
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way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
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access to internal and external networks, training opportunities, and conferences Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work
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master’s degree in (applied) mathematics or related fields - at least basic programming skills, such as Matlab/Python - good communication skills and interest in interdisciplinary research/geophysical
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positions with competitive salaries according to TV-L scale [pdf-Datei] . Integration into the LMU Graduate Program, providing structured career development and training. Access to cutting-edge core
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by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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international conferences. Support in the preparation of lectures, supervision of exercises and of students (in our B.Sc. and M.Sc. programs). Your profile: Very good/good degree (Master, Diploma) in