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being recorded. This project aims to uncover the neural mechanisms underpinning communicative challenges in socially anxious individuals. The second PhD candidate will investigate how socially anxious
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efficiency of an AI algorithm for a specific architecture/accelerator and will help you optimise the energy consumption of AI algorithms. To make experimentation with implementations of algorithms easier, you
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, 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. You have
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. mixed effects regression models and/or Bayesian statistics). You have experience in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, participant testing, report
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safety? Join our PhD project on the legal role of ‘trusted flaggers’, a key but underexplored mechanism in EU content moderation. Help shape how the Digital Services Act is interpreted and applied, as part
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the topics mentioned above and formulate tentative research ideas. We favour methodological approaches and theoretical lenses that are observational more than experimental and are rooted in empirical
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to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell