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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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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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best practice guidance. You should have demonstrable skills in qualitative data analysis, including familiarity with, or knowledge of, engaging research methods (e.g. participatory video, photovoice
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– such as tandem neural networks , video diffusion models , and reinforcement learning – will be explored to efficiently navigate these high-dimensional, nonlinear design spaces. To achieve robust property
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the education/instructional videos contained within them. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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from video recordings. This studentship would be part-sponsored by an industrial partner, Neurotherapeutics Ltd. Use translational neuroimaging and neurophysiology methods together in a rodent model of
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clearly described. Interviews will be conducted via video conferencing (e.g. MS Teams or similar) on Monday 15 December 2025. Interview support for those with disabilities will be available where required
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@aalto.fi ). Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world , Aalto People , and Shaping a Sustainable Future . Read more about
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at