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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools (e.g., RDKit, Open Babel) and chemical reaction databases (e.g., Reaxys
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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux. Proficiency in English and ability to work in a team. Outstanding
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sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools
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in C++ and Python, including experience with the scientific Python stack (NumPy, SciPy) and linear algebra/matrix libraries. Proficiency in developing efficient, maintainable code for engineering
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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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quantitative training), mathematics, statistics, or computer science. Experienced in R, Python, and/or Matlab. Good communication skills. Preferred Qualifications Master’s degree economics, business (with a
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Recognised as a leading authority in specialist full stack Python software development, both within and outside the University. Enable academic endeavours by delivering high-level professional
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benchmarking tools About you: You have prior knowledge of programming in python and are familiar with machine learning (ML) libraries in python. You have a strong interest in machine learning (ML) and deep