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. This project is led out of Lancaster University, with a number of collaborating universities and NGOs. Fieldwork for the project will include periods in remote locations, working in small teams, and scuba and
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ecosystems to explore include Mangroves, seagrass, coral reefs and kelp. This project is led out of Lancaster University, with a number of collaborating universities and NGOs. Fieldwork for the project will
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engineering Experience in medical technologies, cyber security, or practical work with embedded systems and wireless communications would be particularly advantageous but not essential. A Master’s degree or PhD
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applying AI to complex real-world problems. You should have a PhD in computer vision, machine learning, AI or a related discipline, with practical experience developing and applying deep learning approaches
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education and research. Furthermore, we are active and progressive around sustainability, wellbeing and decolonising agendas. EDI is strongly embedded within LEC-REEFS and DSAIL, and we actively work
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and progressive around sustainability, wellbeing and decolonising agendas. EDI is strongly embedded within LEC-REEFS and DSAIL, and we actively work to create an inclusive environment where researchers
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: Friday 21 August 2026 Interview Date: To be confirmed Reference: 0711-26 This position is based in Southampton SO15 0LG An exciting opportunity has arisen for an ambitious graduate to play a central role
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to work independently while engaging effectively with academic and industry sectors. Why work with us? This study is located within the JBA hub at Lancaster University, embedded within LEC, with occasional