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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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computational lens. This calls for strong expertise in computational methods, machine learning, and data modelling combined with solid knowledge of music. We particularly aim to cover a broad range of musical
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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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methods, which can struggle to represent underlying soil processes. Your job This project aims to develop a new generation of soil mapping approaches by combining mechanistic understanding of soil formation
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philosophical approaches; Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological phenomena; Develop strong skills in experimental methods, data analysis and
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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theory and methods, combined with insights from business economics, finance, entrepreneurship, innovation, ethics and sustainability. The programme has about 1,500 students from various backgrounds and
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the project develops. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological
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: 1 April 2026 Apply now This project studies cooperation as an adaptation tool to climate change, innovatively combining empirical methods from history and social psychology. Your job Around the
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- and transdisciplinary research community and training programme; professional command of both English and Dutch; demonstrated skills in quantitative and qualitative research methods, or—where experience