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Postdoctoral Research Fellow in Machine Learning for Local Energy Communities Salford Business School boasts a vibrant international community. We are pioneers in redefining education and its role
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of this postdoctoral research position is to support the design of elastic aircraft with a combination of aerodynamic tools of different fidelity, and the development of machine learning technologies in the context
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inference methodology, to undertake research combining state-of-the-art machine learning and causal inference for solving real world healthcare challenges, such as heterogeneous treatment effect estimation in
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contemporary Machine Learning algorithms and toolkits. You thrive in collaborative environments and have the communication skills to work with a diverse range of stakeholders. Proficiency in managing research
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research on Data Analysis/Machine Learning for Distributed Acoustic Sensing (DAS) in the context of the recently awarded UKRI grant ‘SOUNDSCALE: Sensing On Urban Noise: Distributed Sensing For Collaborative
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facing them in today’s dynamic business landscape. We are looking for a Postdoctoral Research Fellow to join our team to work on an externally funded project on advanced machine learning techniques in
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research on Data Analysis/Machine Learning for Distributed Acoustic Sensing (DAS) in the context of the recently awarded UKRI grant ‘SOUNDSCALE: Sensing On Urban Noise: Distributed Sensing For Collaborative
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Full Time Fixed Term for 18 months The role We are recruiting a Research Fellow (postdoctoral researcher) to undertake research on Data Analysis/Machine Learning for Distributed Acoustic Sensing
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experience of supervising research. The candidate should have good analytical and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development
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machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of computational linguistics, C/C++/C#, TensorFlow would be