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Field
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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optimal control with application to various water systems (e.g., wastewater treatment, desalination, etc.) Prepare grant proposals and project reports Program using Python and test theoretical findings via
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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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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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications: Expertise in broader topics in
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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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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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian