4 condition-monitoring-machine-learning PhD positions at University of Plymouth in Uk
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
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-term monitoring of ground-nesting seabird populations at the Snæfellsnes Research Centre (Breiðafjörður, Iceland), this project will: Objective 1: Quantify the “nest footprint” by establishing
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in relation to density and environmental conditions Effects of lights on scallop reproduction and population dynamics The candidate will gain skills in: Data analysis and interpretation Experimental