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the Sustainability of Raw Materials Industry” with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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. Special projects are often directed by senior management to improve the efficiency and effectiveness of administrative operations related to financial processes. The Business Analysis unit uses data models
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algorithmic breakthroughs that enable foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry
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an intelligent and predictive monitoring system for telecommunications tower infrastructures. The proposed solution will use information collected through specific sensors installed on the infrastructures, which
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how they accumulate in and affect organisms. Fate and exposure experiments and modelling are essential approaches for predicting and assessing the movement and bioavailability of chemicals in
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the rapid transition from AI-driven predictions to experimental validation and workflow optimization. We are seeking an experienced Lab Manager to build, lead, and operate this new Technology & Wet Lab Unit
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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of funding. The MLE will work on projects that will include applications of neural networks to efficacy and potency prediction for drug combinations using multimodal datasets including molecular features