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the Centre for Advanced Robotics at Queen Mary (ARQ), School of Engineering and Materials Science (SEMS), Queen Mary University of London (QMUL). You will be employed to work in the ERC-funded project
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of materials or a related discipline, and a strong track record in developing computational models. The successful candidate should also have a good publication record, and, where relevant, experience in writing
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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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to either materials or molecular biology, with experience of protein conjugation, would be very helpful. The person would be expected to exhibit good laboratory skills and an ability to follow protocols
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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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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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conference presentations. You should hold (or be near completion of) a PhD in Chemical Engineering, Environmental Engineering, Materials Science, or a related field. Essential skills include hands
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning