12 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Imperial College London
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. We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial
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independent, allowing recipients to freely explore while drawing on expert faculty mentors of their choice. We have a programme of additional support for women in AI in Science including additional funds
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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AI faculty mentors of their choice. We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science
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explore while drawing on expert faculty mentors of their choice. We have a programme of additional support for women in AI in Science including additional funds for their career development and a community
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. We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed