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Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab's research has focused on probing specific visual dimensions in the context
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
, interdisciplinary, and case-study approaches—such as analyzing expeditions, correspondence networks, collections, and visualizations—are strongly encouraged. The position offers opportunities to work across archives
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they are to visitors/conspecifics, and where visual refuges occur) remain understudied. Their relevance extends beyond zoos, as visibility and access to visual refuge also structure interactions in-situ. This PhD will
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relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI), Participatory Design (PD) or alike. You must have a Master's degree in Computer
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, Interaction Design, Human-Computer Interaction (HCI), Participatory Design (PD) or alike. You must have a Master's degree in Computer Science, Information Science or equivalent (with a focus on learning
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interaction with academic and industry partners within the CIRES project. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will
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to advancing efficient AI systems through close interaction with academic and industry partners within the CIRES project. Are you motivated to take a step towards a doctorate and open up exciting career
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the Center P4Health which focuses on resolving neuro-glia interactions related to neuropsychiatric and neurodegenerative disorders. Our interdisciplinary research aims to identify cell-autonomous pathways
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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categories, AI risks remain difficult to identify and assess. Many arise not only from technical limitations but from interactions among algorithms, users, workflows, and clinical environments. This requires