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, computational text analysis, computer vision, deep learning, machine learning, natural language processing, netnography, or network analysis. Applicants can have a background in a social science discipline (e.g
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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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, have the following skills and qualifications: a PhD in (genetic) epidemiology, statistical genetics, computational biology, machine learning or a related field. a strong computation background and
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., topological data analysis and machine learning. We welcome applications from all qualified candidates regardless of personal background. Further information on the Department can be found at https://di.ku.dk
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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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physical modeling as well as multivariate data analysis, deep learning, and other machine learning approaches. Candidates interested in designing manufacturing solutions for medicinal products may consider
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department with strong research sections in the areas of Human-Centred Computing ; Algorithms and Complexity ; Machine Learning ; Natural Language Processing ; Software, Data, People, and Society ; Programming