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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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positions, bonding environments, and their implications for photocatalytic activity. The unique capabilities of the SuperSTEM facility, particularly its ability to combine spectroscopy with atomic-resolution
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described by patients, there are few interventions that are currently in place to support recovery. To determine how to best intervene in a cost-effective way, we need up to date cost estimates and quality
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Service (DBS), in line with the University’s code of research conduct and research ethics. You will join the vibrant and multi-disciplinary MindTech Research group and will be based in the Institute
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, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic modelling. Furthermore, Section members collaborate with
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School of English, City as Lab - Deaf Cityscape. Responsibilities include: Note taking during in-person data collection Contributing to the design and building of the study Data coding and processing
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-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon footprint. As future
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of highly sulphated domains within the heparan sulphate (HS) GAG family. These sulphated domains typically bind to protein ligands via sulphated residues that interact with positively charged regions within
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s