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Field
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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English. Candidates may write their dissertation either in English or German. Programme duration 9 semesters or more Beginning Winter and summer semester Additional information on beginning, duration and
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morphology with its performance (reactivity, selectivity, efficiency) and degradation under realistic long term deployment conditions Coordination and execution of in-house beam times Collaboration with other
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, with possible extension to 4. Contract is limited for qualification (doctoral degree) in line with WissZeitVG. Salary according to the German public sector pay (TV-L/TVöD, E13, 100%). 30 days paid leave
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skills, it is recommended to attend a German language course before the start (or during the initial stage) of the doctoral programme in Saarbrücken. Programme duration 6 semesters Beginning Only
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operation Participation in project meetings. Coordination with internal and external partners Publication and presentation of research results in relevant journals and at international conferences Your
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-related regional focus Language training provided Special promotion / funding of the programme ERASMUS+ Franco-German University (FGU) Other (e.g. state level) Course-specific, integrated German
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organisation The thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität
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the discipline of doctoral study has to be above average (at least "good" in the German system or equivalent). Only disciplines from the Faculty of Humanities or the Faculty of Mathematics, Informatics and Natural
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP