13 postdoctoral-image-processing-in-computer-science PhD positions at University of Plymouth in Uk
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, animal ecology, ecosystem process measurement and new drone and sensor technologies for environmental science research. Eligibility Applicants should have a first or upper second class honours degree in
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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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in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme
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Environmental Science or a relevant Masters qualification. You should have strong analytical skills, and interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with
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function and develop science-based advice in fisheries management to prevent significant adverse impacts. This project will combine seafloor visual surveys, targeted sampling and AI-assisted image analyses
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, current methods for processing seaweed carbohydrates are inefficient, relying on separate enzymatic and chemical steps that lack integration, selectivity, and process control. This project will pioneer a
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reproduction and occupy adult ecological niches. Soft-tissue growth is essentially achieved by the synthesis and retention of proteins, an energetically expensive process, typically accounting for 25-40
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your
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Benefits and impacts of use of light in UK fisheries and their wider effect on the marine environment Lead Supervisor (DoS): Dr Bryce Stewart (also MBA ) Second Supervisor: Dr Thomas Davies Third Supervisor: Professor Tim Smyth Additional Supervisors: Dr Rob Enever, Dr Harry Thatcher, Mr Tom...
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capture, evaluate the potential apportionment of soil/sediment chemistry to sources and locations from established field experimental plots and catchments-valleys identified from baseline data using isotope