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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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electronics and electrical energy storage and conversion devices, within the EM3 team (Electronics, Microelectronics and Modelling for Multidomain Systems) of the UMR ICube laboratory. Grounded in a systems
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concerned with accurate and highly efficient modelling of nonlinear wave-structure interaction for floating offshore platforms. Nonlinear wave effects can govern low-frequency motion, mooring loads, extreme
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Master programme. In terms of technical knowledge, we expect you to have: A strong knowledge of R (strong skills in data wrangling using tidyverse syntax and functions, working with quarto documents
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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strong written and oral communication skills Must be able to work independently and communicate proactively Specific Job Knowledge (e.g.; knowledge of principles and procedures related to field and area
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develops interdisciplinary programmes in a range of strategic areas, including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins