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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 15 hours ago
field # Knowledge of dynamical systems and network theory # Previous knowledge of pattern formation theory and of Bayesian inference methods is a plus # Previous programming experience in Python is
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of the last academic degree (see important information for scholarship applicants / Section A, point 2). Good English or good German language skills For Refugees: Copy of Refugee ID card issued before
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also indicate whether the supervisor intends to supervise the candidate as a doctoral student if he/she successfully completes his/her Master's degree. An appropriate form is available for this purpose
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-year degree programme, you must indicate two years as the desired scholarship duration in your application. After the first year of study, your academic achievements will be assessed. If this shows
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degree programmes must have a designated STEM focus. It must be a tuition-free Master's degree programme. Please read point A.15 in the important information for scholarship applicants. Funding is not
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/ Section A, point 2) Good English or good German language skills For Refugees: Copy of Refugee ID card issued before 02.04.2024. Explanatory note: Please note that you are responsible for ensuring to apply
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 2 months ago
uncertainty of the methodology based on independent analytical data and bootstrapping-based statistical methods # Estimation of the relationship between analytical effort and total uncertainty in order to make
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excellent performance in their Bachelor's studies. A cumulative grade point average of 2.0 or higher is required (converted to the German grading system). Academic Requirements Candidates have completed
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University, offered by RWTH International Academy. Target Group Highly qualified students who have an excellent performance in their Bachelor's studies. A cumulative grade point average of 1.7 or higher is
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with a focus on socio-technical systems and human-machine interaction All applicants must demonstrate an above-average academic track record, typically with a cumulative grade point average of 1.7