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successful candidate will have a PhD (or equivalent) in the field of space physics or a closely related area. They will have the skills and abilities to conduct high-quality innovative research and to
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involves high level of collaboration with both the QMUL Space Plasma Group and the QMUL Detector Development Group. About You The successful candidate will have a PhD (or equivalent experience) in the field
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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. The role includes overseas travel to both partner countries as part of the research programme. We are seeking an enthusiastic and experienced researcher with expertise in genomics and bioinformatics, large
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer
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will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
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are looking for candidates to have the following skills and experience: Essential criteria PhD in either human geography or a cognate discipline in the social sciences, or in the arts (e.g. applied arts