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Field
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. Experience with EMT simulation tools, frequency-domain modelling, real-time simulation or hardware-in-the-loop environments is highly valued. Beyond technical excellence, we seek candidates with intellectual
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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lead and support multimodal data collection, data integration, predictive modeling, and digital intervention development. The position involves close collaboration with faculty, clinical partners
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Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate
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, photophysics, and numerical modeling. Molecular building blocks will be synthesized and used to construct COFs with predetermined architectures. The resulting materials will be characterized using PXRD, SEM
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the same genetic material generate markedly different cells, and how this information is encoded within the genome. We utilize stem cells and cancer model systems, though projects range across disciplines
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a