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research will address the following four objectives: - a descriptive study of the external exposome associated with mayors’ health and a comparison of mayors’ health parameters with those of the general
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models of macrophage polarization and host response. Incorporate quantitative microscopy data to estimate parameters related to: Bacterial localization (intra-/extracellular), Replication dynamics
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reconstruction of neutrino events using the simulation of the DUNE distant detector and compare the expected performance of DUNE to low-energy neutrino interactions with SBND - Estimate the systematic
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16 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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of manufacturing process parameters. Rather than running expensive physical experiments at random, the goal is to design experiment sequences that maximally reduce uncertainty about which process conditions lead to
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Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics
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in English. Where to apply Website https://www.isep.ipp.pt/New/ViewNew/7360 Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Research FieldEngineering
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drought resilience and adaptation. Current groundwater flow models, however, often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult
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lack a direct correlation with process parameters, limiting their ability to predict temperature fields under varying process conditions. The transferred arc energy distribution becomes particularly
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional