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publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains to remove
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for applying for this topic (minimum 300 words) Full CV, including work experience Transcript of all modules and results from university-level courses taken (Bachelor's and Master's degree or equivalent) Early
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comprehensive suite of software tools for developing and deploying online studies as well as collecting and processing the resulting datasets. These tools include video games, a modular online survey platform, a
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events (e.g. in the context of ALICES) Participate in the wider academic community through conference and workshop participation Teach and assist in undergraduate and graduate courses Publish research
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strengths and vulnerabilities in very old age and to shed light on their influence on affect experience, stress reactivity and stress regulation in everyday life of very old adults. We will examine 3 samples
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and statement of courses and marks (“relevé de notes”) Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, please apply by
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from all university-level courses taken Contact information for 2-3 referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration
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an outstanding and dynamic environment for PhD candidates, with multiple seminars, working groups, colloquia, and a doctoral school, which also gives access to multiple training opportunities, including courses