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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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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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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
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use of serious/simulation games to support diverse stakeholder in exploring ways to improve climate resilience. We are seeking a highly motivated PhD candidate to develop a serious/simulation game on
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) to simulate the dynamics of discrete cells and Newtonian and non-Newtonian fluid-structure interaction models to assess how the intracochlear fluid (perilymph) influences RWM deformation. We will also develop
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of theory and experiment to test competing models of predictive coding in the auditory cortex—shaping our understanding of brain function from the ground up. Predictive coding and predictive processing
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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capacity, or designing innovative care models that balance quality and efficiency. Using data-driven methods and quantitative modelling (e.g., simulation, optimization), you will develop practical solutions
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” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel mechanics at the atomic scale. In this project, the University of Groningen will develop an array
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PhD Position in Causality-Aware Explanations for Probabilistic Graphical Models Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40