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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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development, testing and modelling of biochars at our laboratories in Edinburgh. This is strategic work that we seek to expand, in enabling responsible scaling of biochar solutions at global level. This post is
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of Medicine. We are seeking an enthusiastic, organised and capable Postdoctoral Research Assistant to work within a team that are developing reagents and point-of-care tests for pandemic disease including MPOX
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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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We are seeking a Research Assistant for a project testing the ability of phage to target bacteria carrying plasmids associated with antibiotic resistance genes. Many of the most important antibiotic
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
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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 science
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knowledge in laser spectroscopy and imaging, ideally in vibrational or acoustic microscopy. Knowledge of mechanical testing and complementary molecular spectroscopy methods is desirable. Please ensure you
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software good written and spoken English language skills excellent German language skills Further desirable qualities are... experience in research management didactic skills / experience in e-learning