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for applications is 26th June 2025, with contracts starting as soon as possible. The Unit The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages
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to consider the Ericksen—Leslie model with stochastic fluctuations and investigate it in terms of existence of solutions and their approximation, the associated large deviation principle and the simulation
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mathematics education and/or mathematics in science education research • Ability to teach, mentor, and support students from diverse backgrounds • Ability to work collaboratively with people from different
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
”. Different scholars have located the power of clouds in market devices like intellectual monopolies (Rikap) or assetization (Birch), or in infrastructural aspects like computing arrangements for scale (Narayan
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and