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agents that collaborate with human analysts in exploratory data analysis, dashboard authoring, and visual sensemaking. Design, implement, and evaluate visualization dashboards and visual analytics systems
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be on the scalability of consensus protocols, in particular DAG-based consensus protocols and asymmetric trust. Responsibilities Collaborate with faculty members and fellow researchers to produce
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and environments that integrate visual, auditory and haptic stimuli for remote collaboration. The successful candidate will take a leading role in the project's central technical objective: the design
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soon as possible thereafter. Job description The position is part of the SNSF-funded project “AI-driven comparative QTLomics to accelerate crop improvement,” a collaborative project with partners