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Intelligence (AI) such as computer vision, navigation and planning. Some of your key responsibilities include: Developing software that can be deployed to UAVs. Carrying out research relevant to the above, in
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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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as computer vision, navigation and planning. Some of your key responsibilities include: - Developing software that can be deployed to UAVs. - Carrying out research relevant to the above, in
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: [email protected].
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The candidate should have a strong background in optimisation and/or computer science. Learn more about minimum entry requirements .
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advanced immersive visualisation and visual analytics using Augmented and Virtual Reality environments in visualising and interacting with protein structures. Required knowledge Strong computer-science and
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). The PhD project would suit a student with a background in computational modelling or engineering. The student will develop computational models that simulate neural pathways for motion vision in
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