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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
will perform numerical simulations using particle-in-cell codes to study collisionless shock waves. The goal is to identify how the electromagnetic field structure at the shock and the spectrum
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approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling
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PhD Student position in LiFi Systems for Unmanned Aerial Vehicles - Pervasive Wireless Systems Group
of the fundamentals of wireless communications systems. Coding skills using Matlab, C/C++, Python. High level of English (English will be the working language) LanguagesENGLISHLevelExcellent Additional Information
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. Unlike standard missing data problems (e.g., missing height or lab results), researchers often do not know when information on symptoms is missing. The usual approach is to assume that if there is no code
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background in neurophysiology / imaging and animal behavior to join the Whitlock group. The position is financed internally by NTNU and is part of a new line of work investigating the neural population coding
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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to publications, conference presentations, and open science outputs. What do you have to offer Must-have: You independently analyze quantitative data and write clear, reproducible code; Must-have: You organize
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the literature, as has been done in Bey-Zekkoub et al. (2025). The developed code will enable contaminants to be traced. Finally, using an inverse problem approach, the model will also make it possible to identify