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30th September 2026 Languages English English English We are looking for a PhD candidate in Structure-preserving Generative Modeling Apply for this job See advertisement This is NTNU NTNU is a broad
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sufficiently robust, the experimental system may be progressively developed to explore more complex geometries, time-varying volume changes and increasingly physiologically representative cardiovascular models
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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into new low-carbon constituents, and enable structural reuse. The project comprises 11 partners across the globe, including partners from Europe, Canada and Japan Your tasks The tasks of the PhD at ETHZ and
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to predictably control and exploit the drop for useful tasks. Aims: 1. Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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23 Sep 2026 Job Information Organisation/Company Constructor Knowledge Labs gGmbH Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: The GFZ Helmholtz Centre for Geosciences is one of the world's leading institutions in the field
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting
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. In this project we will study the functions of the rare coding variants using zebrafish and compare the results with mouse models of equivalent mutations and human post-mortem brain tissue