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and loss of migration across western Europe. Benefitting from the strong expertise of the supervisory team in stork ecology, movement analysis and spatial models, the project will leverage large
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Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review - ScienceDirect Full article: Achieving
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
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11 Nov 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Computer architecture Computer science » Programming Engineering » Computer
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wind farms in the UK and neighbouring countries is expected to triple in less than five years. Newer wind farms are also deploying very large turbines of 14 MW or more, meaning that wake effects between
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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river channels, altering their topography, destabilising banks, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is
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7 Nov 2025 Job Information Organisation/Company CNRS Department GEORGIATECH-CNRS Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France
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, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several