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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 18-month Postdoctoral Research Fellow position focused on Human-Centered AI and Data Visualization
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
full project description here, including a detailed description of SPs and WPs: https://pure.au.dk/portal/da/projects/human-ai-collaboration-imaginaries-interventions-interfaces . Information about the
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assays Experience working with human clinical samples Ability to work independently and collaboratively in a multidisciplinary team Excellent communication, and scientific writing skills with evidence of
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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research project You will be involved in metabolic and physiological studies to address metabolic organ communication in a cardiorenal-metabolic project. You will work with mouse models of human disease and
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is one of Northern Europe’s most significant faculties for research and higher education in the humanities, theology and education. Within this broad academic scope, the faculty comprises approximately
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is translating these concepts to chronic hepatitis B and D through first-in-human immunotherapy trials, while also investigating how persistent viral infections contribute to inflammation, ageing, and
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
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are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over