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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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), including data analysis and interpretation. Experience in supervising students and managing research infrastructure. Hands-on experience in building scaled-up aqueous battery prototypes. Research experience
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platforms, security analysis, adversarial AI attacks and defences, intrusion detection, load management in mobile edge networks, or denial-of-service detection are considered as a merit. Earlier experience in
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textual and material sources in historical analysis. Skills in digital management of research data. Experience in public outreach or digital dissemination of research results. Terms The appointment is
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, sensor technologies, and data analysis for research focusing on automated health monitoring in dairy cows. About the project This postdoctoral position is part of a newly funded research project aimed
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Laszlo Bakó (molecular biology) and Torgeir R. Hvidsten (comparative genomics). The environment provides comprehensive support for large‑scale multi‑omic data generation/analysis and transformation
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methods to provide explainable outputs from AI models in presence of attacks on the models or data, and scalable methods that move beyond feature attribution aiming for root cause analysis and decision
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will coordinate these measurements and necessary samplings across the eight sites, and travel to the majority of them to guide these activities. They will also lead the analysis of the resulting data and
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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magnetron sputtering Scripting in python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will do Perform research in our group (sample preparation