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behavioural skills. The group’s primary output is focused on two training programmes, CAVES, a course that uses natural cave systems for expeditionary and human behavioural and performance training, and PANGAEA
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, GIScience, Geoinformatics, Artificial Intelligence, Natural Language Processing, High-Performance Computing, or a related field; Interest in learning about geodata analytical workflows, GeoAI, workflow
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aims to unravel how ecosystems function in all their complexity, and how they change due to natural processes and human activities. At its core lies an integrated systems approach to study biodiversity
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on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy demand, hindering scale-up. Information This project will be executed together
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: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural language
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information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational
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behavioural skills. The group’s primary output is focused on two training programmes, CAVES, a course that uses natural cave systems for expeditionary and human behavioural and performance training, and PANGAEA
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are particularly interested in projects that explore how violence against nature is simultaneously violence against people, with women and other minoritised bodies often most affected by it. We welcome proposals
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python