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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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if applicants have completed courses that cover these topics during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity
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during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity with real-world programming language specifications
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relevant to the project described above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications
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thinking, and qualitative/quantitative research methods Documented programming experience for example GitHub project on Python, Julia, JavaScript and cloud computing platforms Possesses a strong academic
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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deadline. It is a condition of employment that the master's degree has been awarded. Applicants must have strong programming skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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technologies that are commonly used in the group include Python, Fortran, high-performance computing, MPI, OpenMP, Commander, Git, and Latex. Familiarity with these concepts will be an asset, but are not