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initiation. To this end, researchers are focusing on the development of new data-driven approaches integrating imaging information and patient physiological characteristics to improve the simulation and
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integrating imaging information and patient physiological characteristics to improve the simulation and prediction of true therapeutic failure from an inflammatory response. To achieve accurate predictions
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the acquisition of multimodal/heterogeneous surgical data with artificial intelligence. Although this approach has been studied extensively in simulation (Tolvanen, et al.), there are currently no practical
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p x∈R y∈Rp where F is the outer objective and f is the inner objective. Solving such problems is challenging due to the need to compute gradients through
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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: Statistical Physics / Statistical Physics Appl Deadline: 2026/02/28 11:59PM * (posted 2025/06/29, listed until 2026/02/28) Position Description: Apply Position Description A 1 year postdoctoral position is
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for process-local loose coupling in high-performance simulation codes. PDI supports the modularization of codes by inter-mediating data exchange between the main simulation code and independent modules (plugins
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to accommodate a team of approximately five members as a start. Required Qualifications: The Scientific Advisory Board of the Leukemia Institute Paris Saint-Louis will oversee the selection process based
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biology with computer science, mathematics, chemistry, and physics. Research carried out within DYNABIO teams spans a wide range of biological models and addresses fundamental questions in biological