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, and academics associated with this project. While you develop your existing and gain new skills in collaborative scientific research, intersectoral communication, policy development and fisheries
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technologies. You are highly motivated to learn and apply new product design and experimental techniques and collaborating with scientists from other fields (biochemistry, hygiene and medicine). The ability
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). Your research will be embedded in a dynamic and supportive environment, where you will have ample opportunities for professional development, scientific exchange, and collaboration with both academic and
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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How does experience shape the brain? We aim to understand why distinct experiences result in adaptation through learning, whilst others can lead to unsurmountable stress, psychiatric and behavioural
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Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
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call for expressions of interest from prospective PhD candidates interested in working under the supervision of Dr. Meritxell Simon-Martin (University of Lleida), in collaboration with Dr. Lorenzo Quirós
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enhance real-time decision-making in road traffic management. The project aims to bridge the gap between recent advances in AI and machine learning, in particular, multimodal and instruction-tuned
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of engagement that are crucial for the creation, sustenance, and reproduction of locally nested inter-scalar adaptive networks? We address these questions by focusing on and collaborating with communities living
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collaborating with communities living in four interrelated socio-ecological systems in Southeast Asia. These socio-ecological systems are: 1) upland cultivation in Laos; 2) irrigated agriculture in Indonesia; 3