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equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing
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functions to be developed are: Conducting in vitro and in vivo experiments with pancreatic cancer models within the parameters of the funded project. Collaboration in experimental design, as well as in data
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 15 days ago
inverse modelling in geosciences. (https://www.ipsl.fr/ ) Task description for your Individual Research Project (IRP) Problem Definition: In order to account for the chemistry occurring in the rocket plume
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accounting for Polymorphic uncertainties in Sensor Models and Sensor Fusion for IAM Operations Supervisor: Prof. Michael Kaliske, Chair of Structural Analysis and co-supervised by at least one additional
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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and resilience in Cyber-Physical Systems through four integrated pillars. First, it develops hybrid frameworks for fault and attack detection that combine physical and cyber models with advanced
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, an expansion of a novel, data-driven, decision support system for UK dairy farmers, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models
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Kansas. The ideal candidate would have strong technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated
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: Turbulence and VCA induced vortex modelling as safety cases for Urban Air Mobility Supervisor: Prof. Dr. rer. nat. Matthias Mauder, Chair of Meteorology and co-supervised by at least one
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heterogeneous vehicular environments. A key focus will be integrating multi-domain battery modeling—encompassing electrochemical, thermal, and behavioral aspects—into the SDV architecture, enabling seamless