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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-scale (~10’s of km2) permafrost thermo-hydrological hybrid twin, to be coupled with state-of-the-art freezing/thawing soil mechanics machine learning-based surrogate models (Richa et al., 2024, Tristani
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. • Design, implement, and rigorously evaluate novel AI models and algorithms for multimodal inputs. • Build robust pipelines for data curation, preprocessing, and quality control for noisy, imperfect, and
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Associate - Advanced Laser Cladding Metal Matrix Composite Coatings - Modelling and Optimization Full time
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model
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about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based
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-phase diagnostics working with catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data developing measurement and control
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to the lack of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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of central venous pressure (CVP) remains challenging in both space and clinical settings. This PhD project aims to develop and validate a non-invasive ultrasound-based method to estimate venous pressure using
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, high-temporal-resolution signals that naturally support early detection Gallego et al. (2020); Abderrahmane et al. (2020). At the same time, attention-based models have demonstrated strong capabilities