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Field
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will validate. You will derive model parameters from experimental imaging and use inverse modeling techniques to measure microthrombi deformation under flow. Hybrid Research: You will study wall
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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enthusiastic early‑career researcher eager to develop quantitative, spatially explicit models that support climate‑resilient urban planning? Do you want to work at the intersection of Industrial Ecology, GIS
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as much as your current technical proficiency. MSc degree (or nearing completion) in Plant Sciences, Biotechnology, Bioinformatics, or any related plant biology field; Experience with working with
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enthusiasm for the science as much as your current technical proficiency. MSc degree (or nearing completion) in Plant Sciences, Biotechnology, Bioinformatics, or any related plant biology field; Experience
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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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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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to be a growing field, and there is substantial room to contribute. We are interested in developing techniques that can improve on current AI performance, model human cognition, and in using neurosymbolic