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prior familiarity with the basics of quantum algorithms. Knowledge of numerical methods for solving differential equations is an asset but not a requirement. Women and underrepresented minorities
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: MatLab and Python. Editing scientific texts: LATEX. Numerical calculation software: ANSYS or similar. Specific Requirements Knowledge: Numerical methods applied in engineering. onstruction and
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equations, calculus of variations and numerical methods for differential equations is desirable. To apply, please contact the supervisors: Professor Apala Majumdar (apala.majumdar@manchester.ac.uk ) and Dr
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system SCHISM. Key words: numerical modelling, numerical methods, nature-based solutions, saltmarsh, coral reefs. Employer and hosting lab description In a higher education and research landscape that has
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. The future junior professor is expected to address key questions in the area of numerical methods for partial differential equations. Participation in the research activities of the Faculty of Natural Sciences
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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role The University of Luxembourg (UL) invites applications for a postdoctoral researcher position within the Department of Computer Science (http://dcs.uni.lu ). The candidate should have a research
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employment decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https