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molecular mechanisms by which endocytic structures remove damaged proteins in human physiology and neurodegenerative disorders. Successful candidates will have: A PhD in cell biology, neuroscience, or related
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; mechanism design and institutional design; cooperative AI and multi-agent systems; the study and development of large language models; cross-cultural psychology and large-scale behavioral data; philosophy
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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10 Apr 2026 Job Information Organisation/Company Université catholique de Louvain Research Field Communication sciences » Media studies Computer science » Other Language sciences » Linguistics
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with