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of the interconnection (large size, degraded communication, live-machine interface, etc.) of intrinsically complex and heterogeneous systems. To meet these challenges, traditional design methods based on simulation and a
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
), an internationally renowned laboratory that combines fieldwork, experimentation, and modeling to advance understanding of geological processes, continental surface dynamics, fracture-fluid interactions, and natural
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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for a tenure-track faculty position with knowledge and specialization in one or more of the following areas: user experience design, responsive design, interface design, interaction/web design, motion
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Systems – autonomous vehicles, collaborative robots, and human–machine interaction. · Biomedical Engineering & Health Technologies – wearable devices, brain–computer interfaces, and digital health systems
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for regenerative repair strategies. The successful candidate will work at the interface of tendon biology and tissue engineering, employing genetic mouse models and advanced experimental approaches. We are looking
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PhD Studentship in: Food Waste to Sewer: Evidence, Infrastructure Resilience, Circular Economy and Policy Implications School of Mechanical, Aerospace and Civil Engineering PhD Research Project
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nanoplastics act as environmental mutagens that contribute to cancer initiation and progression? Using prostate cancer as a model disease, the project investigates whether nanoplastics directly interact with DNA
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cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and