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meteorological datasets. Good programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability
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expertise in machine learning and data-driven modelling, particularly probabilistic methods, alongside proficiency in scientific programming (e.g. Python, MATLAB). Knowledge of the steelmaking process would
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and diverse teams. They will need to have advanced-level knowledge of power grid security and machine learning concepts with proficient coding skills (e.g. MATLAB, Python, or similar) and power grid
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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Thermodynamics • Ability to program in Matlab or Python The following skills are desirable but not essential: • Experience in numerical methods (e.g. finite elements) Application Procedure Informal enquiries
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proficiency in C++ and Python for real-time robotic applications. Simulation: Experience with realistic simulation environments such as Gazebo, AirSim, or Unreal Engine. Edge Computing: Proven experience
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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with laser-darkfield microscopy of gold nanorods. They should demonstrate programming skills in Python relevant to the control, acquisition and analysis of data from iDS polarization-sensitive cameras
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subject Excellent programming skills in Python, including familiarity with libraries such as NumPy, SciPy and Pandas Familiarity with Linux/ Unix-based systems Good writing and presentation skills Desire
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generator (Python toolkit), evaluation metrics suite, and academic papers in top finance and information systems venues. We welcome applicants with backgrounds in computer science, data science, or