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, and ensuring fairness within machine learning models. Who are we looking for? We are seeking exceptional candidates with in Machine Learning and Statistics. Ideal applicants may come from a diverse
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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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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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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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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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, Physics, Computer Science, etc.), a strong background in Data Science, Statistics, or Machine Learning, and an interest in Biomedicine. Alternatively, a candidate with a biomedical background with some