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designing and delivering engaging, inclusive teaching that applies theory to real-world Social Work practice. You will also support students through their learning journey, helping them to build confidence
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safety in high stakes clinical environments. Our approach uses sensor technology, machine learning, simulation studies and advanced video analytics to enhance team performance under pressure in high-risk
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R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
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that give students access to emerging technologies like creative coding, machine learning, VR/AR, and projection mapping. In this role, you’ll help students bring their ideas to life, guiding them through
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are also proud signatories of the Armed Forces Covenant and welcome applications from service people to work in our operationally focused service. This role forms part of our Technical Career Pathway
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, students and local communities. These facilities create a unique offering in higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners
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both to those with a research background and to those with legal practice or teaching and learning experience who will be able to contribute and lead on our co-curricular offering to students. Those
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both to those with a research background and to those with legal practice or teaching and learning experience who will be able to contribute and lead on our co-curricular offering to students. Those
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to students aged 16 and over, preparing them for meaningful careers in sectors such as policing, fire and rescue, the armed forces, and emergency services. We work collaboratively to create an engaging
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line