19 phd-in-building-materials Postdoctoral positions at University of London in United-States
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that changes to mechanical sensing, signaling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University
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Materials Science, a large School with 70-80 academics and a similar number of postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students, supported
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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dimensional materials to DNA, and employed such heterostructures for sensing and optoelectronic applications . We now want to refine strategies that employ DNA nanotechnology to control the formation of 2D
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at the Blizard Institute to build and test custom made tendon-chips, using advanced bio fabrication techniques. You will join the Screen research group - a multidisciplinary team of scientists from engineering and
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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by informing policy, influencing the food industry, raising awareness and building advocacy. The Unit is currently led by Dr Kawther Hashem. About You The successful candidate will have a degree and
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for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during
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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be