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including the following: Use of Machine Learning; Web applications; Exploiting the capabilities of the University’s High Performance Computing facilities particularly in data-intensive applications. The post
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or more of these technologies: ◦ Shared and distributed memory programming tools) (e.g. OpenMP, MPI, CUDA) ◦ Make and other build and installation management tools ◦ Machine learning
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to global agriculture. In this context, the EU-funded Sensorbees project is developing and combining micro-robotic, biological and machine learning technologies into a system that can support the well
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research, delivering tutorials or computer practical classes, and possibly some lecturing. Allocation of teaching duties will take account of the Fellow’s expertise and experience as well as the Department’s