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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 24 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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compact device that can practically be used for nuclear waste and cargo. The recruited person will have several activities: -numerical simulations based on established Monte Carlo codes -Participation in
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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responsible for conducting numerical and theoretical studies of turbulent flows and their associated geometric structures, focusing on passive and active scalar fronts, multiphase mixing layers, and