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Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only applications received before midday on the 22nd July 2025
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We are excited to offer this Research Assistant position at the University of Oxford, under the supervision of Professor Paul Goldberg. This is an exciting opportunity to contribute to a major
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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, together with relevant knowledge in normal and malignant hematopoiesis research, including in vivo models. Experience generating single cell genomics data, previous experience of contributing to high-impact
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the covering letter/supporting statement (describing how you meet the criteria), a CV, and names of two academic references. The position is a full-time fixed term post available until 31 December 2025
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statement (describing how you meet the criteria), a CV, and names of two academic references. The position is a full-time fixed term post available to 31 December 2027. The closing date for applications is
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and malignant haematopoiesis research. Experience generating single cell genomics data, previous experience of contributing to high-impact publications/presentations and the ability to manage your own
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion