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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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analysis. Experience in protein interaction studies (e.g. co-IP, yeast-2-hybrid etc.) Skills Demonstrable ability to plan and manage independent research. Contact Information Department contact for academic
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, data analysis and project support. The applicant will have responsibility for leading research activities with students, parents and education stakeholders. The post holder will need strong skills in
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using native and affinity-tagged proteins, biophysical analysis of metal-protein interactions (eg affinity determination by competition assays), and protein metal content analysis (ICP-MS). Protein
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courses. To conduct qualitative research under the Principle Investigator including athlete recruitment, data collection, data management and data analysis. Contribute to the production of research reports
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modelling of shapes changing in time, and involves mathematical and statistical techniques from statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics
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frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C
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-modal data processing for real-world robotic applications. Strong background in deep learning, supervised and unsupervised learning, time-series analysis, information visualisation, with experience in
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experience in geo-spatial analysis and working with remotely-sensed satellite imagery Demonstrable experience of image analysis (for example, using Google Earth Engine or PlanetScope) Experience of programming