Sort by
Refine Your Search
-
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
-
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
-
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
-
frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals
-
: 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
-
-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
-
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
-
simulation and analysis of power systems and renewable energy, and control strategy development; · BubbleRAN platform to boost ORAN research and test ORAN built-up; · OPAL-RT, a powerful real
-
the context of adolescent safety and harm to shape social work reforms. The successful applicant will be expected to lead and develop qualitative research activities, data analysis and project support. The