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the analytical and statistical skills of the department with an emphasis on e.g. spatial modelling, movement ecology, bioacoustics and deep learning. To play a central role in contributing to the department’s
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unique and internationally recognized academic department with 433 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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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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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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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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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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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
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for laboratory work Analytical skills and experience in statistical analysis Strong written and oral communication skills in English Ability to work independently Approval and Enrolment The scholarship for the PhD
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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