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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 13 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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an appropriate set of dimensionless numbers (including Péclet number, Damköhler number, capillary number and viscosity ratio). The project focuses on formulating this coupled model and implementing it numerically
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existing climate model targets. The postdoctoral researcher will also conduct numerical glacier-climate modelling from GeoPAC2 project output. Salary: Postdoctoral Researcher salary scale €46,805 - €59,654
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Computational mOdelling of NanosCalE and bioPhysical sysTems (https
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the following domains : - Applied physics (insulating materials, thermal transfer, fluid mechanics, modeling...) - Instrumentation, basic electronics - Notions on simulation using numerical methods Additional
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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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engineering or related fields. Strong background in fluid mechanics, scientific computing, numerical methods, PDEs, and/or data-driven modeling Interest in interdisciplinary research and open science
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with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios developed by project partners. This research will be essential
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challenging conditions, and in modelling coastal processes such as coastal erosion, rip currents, and coastal flooding. You will have experience in coastal processes and numerical modelling. Your principal role
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full