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a relevant Masters qualification with a background in chemistry, physics, atmospheric/marine sciences or equivalent, and with experience in (or a desire to learn) programming. If your first language
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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, by the end of the project, the student will be able to initiate and plan scientific studies, so will be provided with guided opportunities to develop their own ideas, develop and test hypotheses and