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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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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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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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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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, 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
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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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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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statistical methods; Code implementation and validation for these models in a modelling setting for alternative design and policy analysis. Collaborate with researchers from machine learning and transportation