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We are looking for a candidate who has completed or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling
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or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling or related fields. You will have expertise in
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors only measure one point in space, but sensors
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is challenging. Static sensors only measure one point in space, but sensors mounted to unmanned aircraft are noisy and can only fly for a short time. We are addressing this challenge by building
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independently and collaboratively in a research team. Competence in resource planning and effective resource use. Understanding of management and administration processes. Ability to plan and organise research
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administration processes. Ability to plan and organise research programmes and co-ordinate work to avoid conflict or duplication. How to apply Please apply on the University website with your CV and a cover letter
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project