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elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills
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early-career researcher in applied mathematics, physics, or engineering, with expertise in fluid mechanics1, non-Newtonian fluids, numerical methods, and scientific computing2. Background or strong
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uncooperative spacecraft . Develop novel methods for characterization and quantification of input-output bounds in an AI-augmented perception system: Develop novel methodologies and tools for characterizing and
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, technology and society using frameworks and methods from Science, Technology & Society (STS), history, philosophy, anthropology, critical theory, and the arts. We privilege interpretive, qualitative methods
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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. Expertise in modelling and simulation of coupled multi-physics-based nonlinear dynamical system through finite volume method approach is expected. Knowledge and fluency in English language. Highly motivated
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analysis of fluid dynamics, advanced skills in programming and numerical methods, writing scientific reports and articles, presenting at scientific conferences. Behavioural skills : Independence, ability
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms