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to state-of-the-art research facilities and computing resources. Key Responsibilities: We expect you to be part of: Developing data-driven computational models of consumer, behavioural, or cognitive change
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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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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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textiles. The projects are carried out in close collaboration with industrial and societal partners and aim to develop, test, and implement innovative circular concepts and business models that reduce
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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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include: developing detailed analysis plans from preregistered protocols; conducting advanced quantitative analyses of longitudinal and dyadic data; handling missing data and conducting relevant sensitivity