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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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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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with related departments. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, [email protected]. Application procedure Shortlisting is used. This means
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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) to study atomic structures of optically excited small unit cell crystals. The project involves measurements, data reduction and structure refinement of large serial femtosecond X-ray (SFX) crystallography
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The Department of Electrical and Computer Engineering (ECE) at Aarhus University (AU) invites applications for a tenure-track position as Assistant Professor in Electronics. We seek a talented and
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programmer for a research and development project on agentic AI companions, learning analytics, and data-driven educational innovation in Business Intelligence courses. About the job As a student programmer
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
At the Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, a position as Assistant Professor in statistics for the development of privacy-enhancing techniques in
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-throughput sequencing datasets, including eDNA, metabarcoding and metagenomic, data. Integrate molecular, ecological and environmental datasets to address research questions related to biodiversity, pollinator
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& TimsMetabo mass spectrometers Maintain bioinformatic tools related to proteomics and metabolomics Perform data analysis and interpretation Assist users/students in sample preparation for MS-analysis Assist