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are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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of experimental demonstrators. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in Physics or a relevant area of electrical engineering. (Applicants should have submitted
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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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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
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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research, fundamental cell biology and cell signalling with excellent shared facilities including the Centre for Proteome Research, the Computational Biology Facility, the Liverpool Centre for Cell Imaging
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lack of investment over decades. The candidate will be expected to have a PhD in relevant fields of either economics, geography, economic development, planning, engineering, or public policy