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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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areas: software testing, runtime monitoring or diagnostics combined with a desire to embed these in today's assurance processes. Knowledge of software development methods (especially agile methods such as
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documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your research results at national and international conferences
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are: Requirements definition, survey and documentation Processing of research projects Conception of digital systems and services Developing suitable participation formats together with external partners Designing
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they hold one of the following language qualifications: Englisch: IELTS (5,5) / TOEFL iBT (80) German: DSH II / TestDaF4x4 or higher Application Procedure Application deadline The application occurs online
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. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied
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collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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the opportunity to obtain additional skills related to interdisciplinary language science research more generally. Equally qualified applicants with disabilities will be given preference in the hiring process. The