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We are constantly balancing different movement goals as we walk through the world – maintaining stability, moving efficiently, and perhaps hurrying to catch a bus! Suboptimal control of gait can
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coupling, applications, and development of regional ocean models. Capitalising and contributing to this effort, this project will Investigate effective downscaling strategies for different regional ocean
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Staff Services office. Candidates should have some familiarity with some or all of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models
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configurations, in order to quantify their impact on the oceanic carbon sink under different contexts (interannual variability, future climate projections, mCDR simulations, etc.). The postdoctoral researcher may
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, sustainability science, or a related field. Experience in data analysis using scripting languages such as Matlab, Python, and R. Experience working with earth observation data and visualisation of data in maps and
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faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and
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, e.g. Python or MATLAB would be desirable. This temporary role will be based across a range of different teaching laboratories. The successful candidate will be required to assist with a relocation of
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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availability and reliability figures starting from mission level requirements; derive the system level figures to segment level, providing an apportionment of the requirements to the different segments, in