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Field
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, ideally in Python and/or C++ A relevant qualification in computer science or a closely related discipline Strong organisational skills, with excellent time management and a proactive, detail-oriented
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or Computer Science. We are particularly interested in candidates that have research experience with software development, script-based programming (e.g. Python, C++/C# etc.) and synthetic data generation. We would
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-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of Internet-of-Things, web-based systems, databases, cloud computing, formal methods in CS Expertise in various application
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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the simulation models using appropriate tools (e.g., AnyLogic, Simio, Siemens Plant Sim, Python, MATLAB or other relevant simulation platforms) Evaluate and validate the proposed framework and assess its impact on
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise
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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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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