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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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the invasive comb jelly Mnemiopsis leidyi, one of the very few animals known to produce coelenterazine, as model organism in our laboratories at University of Copenhagen. Apart from studying bioluminescence in
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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motivated postdoctoral researcher to contribute to the research projects RE:circulate and PROLONGing, both funded under Innovation Fund Denmark’s mission-driven initiatives within circular plastics and
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
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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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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a high academic standard and a strong publication focus. Our work is driven by the aim of generating rigorous and practically relevant knowledge that can improve support for couples, families, and