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the first five years in the Netherlands. Do you want more information? For more information about this function, please contact Dr. Md. Abdul Munnaf, Assistant Professor, by e-mail: abdul.munnaf@wur.nl
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study, you will develop a model for the dynamic methane cycling in global inland waters. This model will build on our pioneering model framework and simulate the changes in cycling fluxes of major carbon
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research has a high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been
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are you up for a challenge? Are you motivated to contribute to solving important societal questions by developing algorithms, adjusting existing statistical models and conducting simulation studies
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interact to shape an entire simulated organ. To calibrate and parametrize the models, you will have access to data from experimental collaborators (Boxem Lab). In turn, your models will help our experimental
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and mechanical properties under in-situ pressure and temperature conditions; develop and apply fully-coupled thermo-hydro-mechanical models to simulate mine water flow and heat storage dynamics within
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minerals) and reverse weathering (precipitation of authigenic secondary clays and carbonate precipitation). You will conduct laboratory flow-through experiments to simulate different ambient conditions and
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’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
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PhD Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization (1.0 FTE)
motivation letter of a maximum of two A4 pages, in which you explain why you are a fitting candidate for this position. A concise research proposal of max 500 on how you would frame the project. A copy of an
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. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world