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qualifications and motivation. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in mathematical sciences (https://www.ntnu.no/studier/phma ) within three months
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., under the following conditions: Work Plan: The scholarship holder will carry out research activities within the TwinCare project, focusing on the development of AI-based Digital Twin analytical models
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19 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet, Naturvetenskapliga fakulteten, matematikcentrum Research Field Mathematics Researcher Profile First
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-validated, enabling the conceptual extension of the model toward bilateral CI hearing. Work Plan During the first six months, the work will be structured around four main axes. (1) Computational modelling
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 21 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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23 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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Working Title: High-Performance Computing System & Server Administrator, College of Science and Mathematics State Role Title: N/A Position Type: Administrative & Professional (Non-teaching Faculty
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, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines