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of glycoprotein structural analysis using bottom-up mass spectrometry. The project will also include developing and applying applications in glycomics and native MS. Our goal is to characterise the structure
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for the development of the autonomous quantum processing unit (AQPU) as follows: Carry out design, experiments, and/or data analysis on specific research topics that we consider most important for realizing the AQPU
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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
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students and postdoctoral researchers. Key responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and
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specialist scientific equipment and act as a source of information and advice to other BPI team members. You will collaborate in the preparation of scientific reports, journal articles, and present papers and
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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), time-lapse bathymetric and sub-bottom profiler surveys of the seabed, and sediment cores. They may also assist in analysis of monitoring data from Ocean Bottom Seismometers and Hydrophones. These data
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Associate tenable for oneyear in the Department of Drama, Theatre and Dance. The successful applicant will play a leading curatorial and research role in the implementation and analysis of artist-led
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range of methodologies, including econometric analysis, micro-econometric demand analysis, big data analysis, health macroeconomics, discrete choice experiments, cost-effectiveness analysis, decision
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will also have the opportunity to lead or support data analysis and contribute to academic publications and dissemination events. This postdoctoral role will sit within the department's growing body