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Field
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expertise and visionary thinking, with responsibilities including securing major funding, influencing research policy, and driving innovation. You will lead large, interdisciplinary teams, ensuring
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, catalysis studies - in particular electrocatalysis and Python programming Experience within the following fields is highly beneficial: Transmission electron microscopy, Electrochemistry, Image analysis, Big
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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large metagenomic datasets. These features include both the weapons and shields that bacteria use when fighting each other: antimicrobials and antimicrobial resistance. In the Research Group for Genomic
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contributes to improving large-scale plasma simulations that are essential for the design and optimization of nuclear fusion devices, a key step toward future sustainable energy technologies. You will conduct
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, interdisciplinary research. Our department remains at the forefront of engineering innovation, delivering sustainable solutions with global impact. As a large, multi-specialisation department, we thrive
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Description/content BIGS DrugS was founded in the year 2010. It is part of the BIGS (Bonn International Graduate Schools ) umbrella programme for structured doctoral programmes at the University of Bonn. BIGS
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the effectiveness of anticipatory cash transfers in response to climate disasters, using large-scale RCTs in Bangladesh and other countries. It investigates how early interventions can mitigate the impacts of extreme
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psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data