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academic and societal debates. Candidates are invited to submit a two-page research proposal outlining a potential analytical approach for this position. While the scope is not restricted to predefined
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and social structures, with significant consequences for individual well-being and societal costs. Unlike divorces earlier in life, individuals undergoing grey divorce have limited time to rebuild
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ecology). - Is curiosity-driven and creative, with strong analytical and research skills, able to express (own) ideas and arguments at an academic level. - Has experience in and affinity with qualitative
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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inflammatory pathways. The successful candidate will be analysing how these pathways alter in different dementia patient datasets aiding in understanding how inflammatory response differences reflect disease and
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, social or environmental sciences (with a strong specialization on governance, community engagement, environmental management, political ecology). Is curiosity-driven and creative, with strong analytical
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communication skills to be able to act as an excellent team player Capacity to think analytically and creatively Preferred qualifications Previous experience in nanoparticle characterization or methods such as
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: excellent, very good or good university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport planning and/or data analytics Description of the PhD topic
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are differently affected by aridity. Therefore, the project focuses on the differential response of above- and belowground litter decomposition to increasing aridity and to elucidate the consequences for SOM
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knowledge on the technical and behavioural transformations triggered by AI across different project contexts. The project sits at the broad research area of AI and project management. It is interdisciplinary