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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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on large annotated datasets. Memory-efficient deep learning: Model compression, pruning, quantisation, selective memory replay, and efficient training strategies. Energy-efficient deep learning: Methods
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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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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
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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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of computer science and engineering. Research areas incorporate digital signal and image processing, sensor network, Internet of Things, healthcare as application area, multimedia, image and video processing, cyber
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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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under uncertainty (Studentship code MSP106) Learning to sample: Meta-optimisation of gradient flows using reinforcement learning (Studentship code MSP107) Dynamic Bayesian modelling of endurance sports
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safety challenges. The foremost issue lies in storage, hydrogen’s low volumetric energy density requires it to be stored either as a compressed gas at extremely high pressures or as a cryogenic liquid at
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videos: Aalto University – Towards a better world , Aalto People , and Shaping a Sustainable Future . And this webpage about Aalto and Finland: Why Finland? | Aalto University Check out our new virtual