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to mentoring and contributing to a positive research culture Desirable: Experience with programming tools (e.g. MATLAB, Python, R) for data analysis Experience working with human pluripotent stem cell
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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) or a closely related field. Technical proficiency: You must have relevant experience in high-level programming (e.g. Python) and an understanding of large language model (LLM) architectures and training
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. Strong coding skills in Python, including deep learning libraries such as Transformers, Pytorch; statistical analysis packages. Good fundamentals in deep learning models in text, vision, audio or similar
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will bring: Qualifications and experience aligned with HEWL 6. Demonstrated experience working with environmental or ecological data, including data wrangling, analysis and visualisation (Python, R, GIS
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-robot interaction. Technical Skills - Programming in C++ and/or Python. - Proficiency in ROS/ROS 2 or equivalent robotics middleware. - Experience with simulation environments (Gazebo, Unity, or similar
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with