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to benefit from latest advances in hardware technologies the ICON model was ported to run on Graphics Processing Units (GPUs) and is one of the first model that can be used in production
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paradigm shift in urban design, planning, and construction by transforming urban infrastructure into “more-than-human” living spaces—environments designed to be inhabited by both people and non-human species
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automation Develop embedded control systems and support real-time system feedback integration Collaborate with bioengineers to ensure functional compatibility and safe operation Support system validation
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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courses, practical work, management). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and
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will work on the extension of our global atmospheric Se cycling model, integrated into the global modeling system ICON-ART (ICOsahedral Nonhydrostatic – Aerosols and Reactive Trace gases), from total Se
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generation and high-speed signal modulation. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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and associated image analysis methods Experience with transwell-based barrier models and biology is a strong advantage, and basic knowledge of microbiological techniques, including bacterial cultures