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University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of deep representation learning for audio data. The position is available
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the area of deep representation learning for audio data. The position is available on a fixed term basis for 18 months due to funding restrictions, with the possibility to extend the contract
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vision and machine learning. Experience of real time systems development C/C++/C#, Python, OpenCV, PyTorch, TensorFlow and deep learning are essential. Be self-motivated and proactive in approach
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Reference: 2534723FP-R Research Fellow in Bayesian Deep Learning We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in
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) Closing Date: Wednesday 24 April 2024 Interview Date: To be confirmed Reference: 2534723FP-R Research Fellow in Bayesian Deep Learning We are seeking applications for a research fellow at the University
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Location: Jubilee Campus Deep learning is changing the way we look at plants. Plants are extremely challenging subjects for computer vision, individuals may look very similar, but may exhibit large
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this, involving deep learning and potentially also stochastic logic-based approaches. The successful applicant will apply these methods on data generated by the project but will also be encouraged to develop
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. The post holder will develop and implement novel image analysis algorithms using computer programming expertise and machine learning techniques such as deep learning to detect and quantify small-vessel
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. Apply statistical and machine learning and deep learning algorithms to diverse data of different multi omics data sets and quality to identifying associations and causal relationships driving diseases
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into the growth regulation of BMs. The post will include molecular cloning, Drosophila genetics and light and electron microscopy. You will have a deep interest in the mechanical aspects of shape generation during