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for Resilient Water Systems Position Summary: We are seeking a highly motivated and interdisciplinary Doctoral Research Assistant to join a collaborative project aimed at advancing understanding of sediment
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Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
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. The goal is to quantify both the extent of material degradation and its precise spatial distribution within the battery structure. By modeling the battery as a dynamic 3D acoustic landscape, we expect to be
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 7 hours ago
the pivotal social processes that generate health inequalities it leverages linked family-based data, natural experimental designs, genetically-informed social epidemiological data, advanced dynamic modelling
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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structural biology, are encouraged to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional
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), Paris, France. The candidate will be responsible for: - Modelling the health impacts of environmental prevention policies, particularly in the areas of air quality, noise, physical activity and/or urban
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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development of standard and deep sub-micron process nodes design flow and translate the key physical parameters from models to design kits to support full integration of such advanced devices in CMOS processes