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Field
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network analysis libraries and relevant modeling tools, are necessary. Knowledge of spatial data analysis, graph theory, and infrastructure systems will be viewed favorably. Exceptional analytical, problem
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programming. An ability to code in C, C++ or Rust is also necessary. Candidates with experience or interest in column generation, cutting planes, polyhedral geometry and graph theory are especially invited
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About the scholarship Application status: No application required Applicable study: Woman student in Mathematics Education or Discrete Mathematics (Including Graph Theory) Opening date: Closing date
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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theory, and game theory. Scientific responsibilities: Propose and conduct novel research in computer science and applied mathematics, collaborating where appropriate with universities in ESA Member States