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. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary approach combines behavioral experiments
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to join our team. With Björn Lindström as teamleader and funded by the Swedish Research Council, we are developing a new framework for understanding social learning, social transmission and cultural
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Do you want to contribute to top quality medical research? In our research group, you will find a unique opportunity to work closely with leading experts at the crossroads of neuroimaging and neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with...
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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analytical abilities. Flexible and eager to learn. This role involves continuous learning and adaptation to new methodologies and challenges. Eligibility for employment as teaching assistant requires that you
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. The successful candidate will work on cutting-edge projects involving artificial intelligence (AI) and computational pathology, with a particular focus on developing and applying machine learning algorithms
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these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how these structural variants arise and which recurring structures
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- with focus on education and research Do you want to contribute to better health for all? The Department of Learning, Informatics, Management and Ethics (LIME) develops and disseminates knowledge
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for electrophysiologists who are interested in the studying molecular mechanisms by which mice learn and keep information in the brain. The lab’s research focus is to uncover experience-driven protein signaling mechanisms
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team members on preclinical studies to investigate organelle dynamics, genetic predispositions, and disease-modifying mutations. Learning and applying new methodologies to advance the group’s research