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Field
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Offer Description Project description Climate change is exerting strong selection on wild populations, with many species showing shifts in the seasonal timing of development. One particularly vulnerable
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in
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for the detection and analysis of vulnerabilities and privacy harmful behaviours in IoT products, including side-channels arising from misuse and abuse of network protocols. The candidate will develop and apply
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to develop a research project called Bicameral Decision-making in the European Union. This project will be led by Pompeu Fabra University but it will be developed together with an international team
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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no
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10th November 2025 Languages English English English Do you want to develop methods in the interface between AI and forest ecosystems? PhD scholarship: methods for characterizing forest structure
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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contribute to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field