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This role is an exciting opportunity to work on the interplay between biology and physics on ocean carbon sequestration by the Biological Carbon Pump. You will run an ocean biogeochemical model
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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analysis needed for each of your projects. You will work collaboratively with project and programme managers to shape project or programme plans. You will sometimes manage projects yourself or co-ordinate
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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-class teaching and learning at its heart, The Tung Auditorium celebrates the University¿s cultural contribution to the city and seeks to offer an open and inclusive programme, enhancing engagement with
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internships are only available to graduates (within 5yrs) of the Anatomy & Human Biology degree programme (B110), University of Liverpool. Both posts are fixed term for 12 months and full time (35 hours per
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. Firstly, you will facilitate an industry-academia network interested in space robotics with the Zero-G AstroLab. Additionally, you will help the Condatis project: Condatis is planning software, helping
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research on urban health. More information is available at GroundsWell and Healthy Urban Places. You should be educated to a degree level in a relevant discipline e.g. computer science, engineering
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub