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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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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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About the Role Barocaloric solid-state cooling is a promising new technology that has potential to dramatically reduce the carbon cost of cooling and refrigeration. In an EPSRC-funded collaboration
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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This post is within the School of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate students. It is one of five schools in
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About the Role Barocaloric solid-state cooling is a promising new technology that has potential to dramatically reduce the carbon cost of cooling and refrigeration. In an EPSRC-funded collaboration
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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. About the School/Department/Institute/Project This post is based within the School of Physical and Chemical Sciences. The School forms one of five within the Faculty of Science and Engineering and
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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job
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care using Eppi Reviewer software and writing of evidence briefings for Integrated Care Systems based on the Living Map. The role is an exciting opportunity to combine evaluation skills with policy and