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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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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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feedback within and between these three ecological ‘layers’ impacts bacteriophage’s virulence. For this project, you need to have experience in mathematical modelling and/or eco-evolutionary simulations, and
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life emerged. As a PhD candidate, you will evaluate scenarios through numerical modelling of mantle dynamic and lithosphere (de)formation processes, using the range of possible Hadean compositions and
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outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas
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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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densification model forced by high resolution output from the regional climate model RACMO to simulate the evolution of the Larsen C firn layer in the recent past (1950 to present) and into the future (up to 2100
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what