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Field
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., in Python. A keen interest in interdisciplinary research. An excellent command of English, as you’ll be working in an internationally diverse community and with international partners. Ability to learn
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. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing the works in technical reports
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Proficiency in experimental design and statistical analysis Working knowledge of Python and/or AI/optimisation tools Language skills • Fluency in English, both oral and written. Other relevant
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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(Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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strong publication record or clear evidence of research productivity will be an advantage. Our lab uses Python, MATLAB and C++ to automate both data analysis and process control. Knowledge in these tools
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physics/mechanics. Experience with and enthusiasm for numerical simulation tools including programming in fortran/python. A research-oriented mindset: critical thinking is your second nature. A team player
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semi-structured data sources. Proficiency in analytical and visualisation tools such as Python, R, SQL, GIS, Power BI, Tableau, or equivalent platforms. Experience designing interactive dashboards, data
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DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and