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Field
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. Computer Science, Statistics, Data Science, Health Informatics, or related field) Proficiency in relational database design, construction and querying (SQL) Proficiency in Python and/or R for data
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage. Key Competencies Ability to build and
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Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external
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signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate clearly across disciplines. Experience handling large datasets and
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/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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or equivalent industrial experience demonstrating research and technical excellence. Strong expertise in: Backend development (Python, Node.js, Go, or similar), Frontend frameworks (React, Vue, or equivalent
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simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python, MATLAB, Bash) You will be motivated
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data analytic studies and preparing data for analysis and be proficient in using R, Python or similar programming language. You should have the ability to write clearly and concisely with a good