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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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Data Analyst; Level 6 Data Scientist; Level 7 AI Data Specialist. * 2. An understanding of the role of cognitive analytical models, NLP, knowledge representation, automated reasoning and machine
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industry and regulatory standards for example those that relate to, data protection, appropriate computer use, ITIL standards. Operate a range of IT tools. Operate everyday software tools and computer
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. Candidates with strong track records in computational tropical geometry, non-archimedean analysis and geometry, machine learning, and related areas are encouraged to apply. Hybrid and flex working arrangements
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, technical and creative equipment. Desirable Criteria 17. Experience in one or more of the following: a) operating system internals and device drivers b) real-time computer systems c) distributed
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(or equivalent experience). 2. Knowledge and experience of computer aided facilities management (CAFM) systems. 3. Knowledge of AutoCAD. 4. Health and safety related
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including robotics, human computer interaction, data visualisation and computer graphics including those with strong links to related work in neural computation and deep machine learning. The applicant will
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regulations, including correctly wearing any protective clothing or equipment provided and being aware of any hazards. · Learn how to use everyday equipment and tools e.g. cleaning machines, from more