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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as reproducibility
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range of mathematical disciplines and has three study programmes: mathematics(including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. The
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catalogue signature whistles for new populations, and implement statistical analysis for mark-recapture estimates of population density. The successful applicant will be based out of the Section for Marine
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, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We
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and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in collaboration
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investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives
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relevant Master’s programme, such as Signal processing, Machine learning, Statistics, Mathematics, Acoustics, or similar. The integrated stipend consists of two parts, A and B. During part A you are enrolled
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vibration in miniature audio systems? In this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. PhD
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/bioengineering (or a similar degree with an academic level equivalent to a two-year master's degree) and have demonstrated experience in the following areas: Numerical methods Statistics Computational biology