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the thesis with your application. Documentation of your completed PhD degree must be submitted before commencement. Demonstrated knowledge of pedagogical theory, particularly linked to approaches such as
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355137 “From Extremal Combinatorics to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
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. The work will be at the interface between data analysis and theory. We are also open to employing data-driven techniques if the candidate wishes. The ocean is currently evolving with the changing climate
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types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to employing data-driven
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. Documentation of your completed PhD degree must be submitted before commencement. Demonstrated knowledge of pedagogical theory, particularly linked to approaches such as project-based learning, problem-based
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using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory
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. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to
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of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years, 10% of which is
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relevant methods and theories to be used in the research. Participate in organising activities in the CLEAR research group, such as regular meetings, conferences, and workshops. Teach Russian and/or