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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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before, during, and after mobility? Through a mixed-methods case study, you will contribute to a deeper understanding of the ‘class-migration nexus’ — a crucial but often overlooked dimension of migration
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biological function of new molecules are integral elements. You will supervise and mentor PhD candidates and teach in the Bachelor’s and Master’s programmes in Chemistry, Molecular Life Sciences and Science
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science communication – and you will be able to contribute to supervision. There is a significant degree of freedom in terms of research questions and methods, but in general we are interested in
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linguistic diversity; or how we can build better evaluation methods for language technology based on insights into human interaction, with room for human judgement and analysis. We offer you the opportunity
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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, molecular biology, or a related field. You are motivated by deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts
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evolution for decades. Yet, with the rise of modern cutting-edge technologies, we can now use novel, data-driven methods to explore the ancient past and unpack the origin of language. This postdoctoral
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newly collected survey data, which you will link to CBS register data, using advanced statistical methods. The data collection will be executed by KBA in collaboration with NCO, but you will be involved