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interpretable machine-/deep-learning models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment to a postdoctoral
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mathematics, financial mathematics, mathematical modeling, analysis, machine learning, optimization, mathematical foundations of artificial intelligence, mathematical ecology and mathematical statistics. UmeÃ
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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, computational biology, numerical analysis of partial differential equations (including ice and ocean dynamics), computational statistics and machine learning, as well as algorithm design and discrete
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, infrastructure, population, and adaptation. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in
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contribute to its shared infrastructure. Experience of machine learning, automated text analysis, historical census or register data, occupational classifications, comparative research, or research