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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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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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the Future: Be part of building a cutting-edge research institute from the ground up! Postdoctoral Positions available in … https://www.oeaw.ac.at/aithyra/postdoc-search Designing New High-Throughput Methods
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method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury deliberates by vote justified according to the criteria of evaluation; no abstentions
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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
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decision, notifies the excluded candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria
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expertise in a range of quantitative social science methods applied both to "softer" kinds of data like texts of policies and political documents as well as to numerical data such as technology deployment
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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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focused on the electrochemical and structural properties of hybrid soft-matter electrolytic systems. The candidate should be proficient in and apply a wide range of experimental and analytical methods. In
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics