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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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and multiscale modelling of helium effects in irradiated Fe–Cr alloys. The position focuses on computational materials science and atomistic simulations. The successful candidate will contribute
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interests including, but not limited to: Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven phenomena, advanced sensing, and solid-state
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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catalyst design. This role involves conducting multiscale modeling, spectroscopy simulations, and the development of machine learning methods and automated workflows for multi-fidelity, multiscale, and
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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” of novel stretchable structures by advancing numerical modelling, data-driven, and optimisation approaches in a nonlinear regime. Project Background Stretchable mechanical structures are a subset of
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 3 months ago
.; “Reversing the Enantioselectivity of Enzymatic Carbene N-H Insertion Through Mechanism-Guided Protein Engineering” Angew. Chem. Int. Ed. 2023, e202303879. [3] Feixas F.; Garcia-Borràs, M. (2025) “Multiscale