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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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will: Systematically retrieve publicly available video data and additional sources to compile a high-quality dataset; Perform ethnomethodological conversation analysis and multimodal analysis
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network data. The candidate is furthermore encouraged to propose their own research direction related to AI methods for advancing network analysis. We are looking for An excellent young scientist with a
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, European and international markets of high-quality steel products and scrap producers for the relevant value chains. Dynamic Material Flow Analysis (MFA) modeling for steel demand that allows a mix of steel
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technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in
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dynamic environmental conditions; Integrate empirical data analysis into conceptual models to investigate how altered conditions due to offshore wind farms may lead to broader ecological impact across
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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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Your job Do you want to use your passion to scientifically address challenges in (precision) agriculture and spray technology in relation to crop protection by data analysis and modelling? Do you