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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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computer programming background who has an interest in ecology and biodiversity conservation, or an ecologist with computational modelling experience (e.g., using R, Python, Matlab). Project funding
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) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications
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