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an opportunity to be involved in analysing the quantitative data collected as part of the project. You will hold a relevant PhD qualification (or be close to completion), with sufficient relevant research
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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and ultrasound neurostimulation techniques and will need to show some independence in conducting your work. You will be part of a thriving community of researchers working in related subject areas. You
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scheme, 30 days’ leave per annum (pro-rata for part-time/fixed term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we
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partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in
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to upload a supporting statement and CV as part of your application. In your supporting statement (<3 pages), please explain how you meet each of the selection criteria found in the job description
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people to do outstanding things in the world. Being a part of Durham is about more than just the success of the University, it’s also about contributing to the success of the city, county, and community
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and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Certificates