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, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch
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and spoken English; Have initiative and motivation to work as part of a team and independently; Speak fluent Portuguese and English and have a clean driver’s license and be willing to collaborate in
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activities in our department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg
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. Meeting the project deliverables within the project timeframe, which consists of the following responsibilities: Explore different numerical models that can capture droplets physical behavior under both
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
formulations; - Availability to start working on the project on January 1st, 2026; - Fluent (writing and speaking) in English; Preferential: - Previous laboratory and research experience related to the project
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Habitability and linked to the “Galactic Recipe for Exo-Planets” (GREP) project funded by the Research Council of Norway. GREP’s objective is to take exoplanet and exoplanetary system formation modelling
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. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in
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UiO/Anders Lien 31st December 2025 Languages English English English PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage Apply for this job See advertisement
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. Job description We are looking for a PhD candidate to work in the project “Robots as Welfare Technologies and Actors for ELderly Care: A Nordic Model for Integration of Advanced Assistive Technologies