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Interaction and are supported through a strong network of collaborators. Interested applicants are encouraged to contact the project’s principal investigator, Prof. Niels van Berkel ([email protected]
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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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environments. We frequently publish in the leading venues in Human-Computer Interaction and are supported through a strong network of collaborators. Interested applicants are encouraged to contact the project’s
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
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critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality
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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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clinical sample collections and pre-clinical models that more comprehensively capture the cellular and molecular heterogeneity of this multi-focal cancer. Your job responsibilities As Postdoc in prostate
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Aarhus University. Our work spans fields from physics, chemistry, microbiology, molecular biology, and mathematical modeling to social science, geography, economics, and policy analysis. Both basic and
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sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with a