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Field
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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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and experience in one or more open-source languages (e.g. Python, R). Prior experience/knowledge of computational psychiatry methods for modelling cognitive tasks. Experience in the use of neuroimaging
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to biological, imaging, or clinical data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with
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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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statistical/computational analysis (e.g. R, Python, ELAN); Strong written and oral communication skills; Ability to work independently and collaboratively across disciplines. We regret to inform that only
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that is reflected in applicants' publication record. Skills and Experience: Programming in Python (must), Image processing (desirable). Basics of Si Microfabrication and familiarity with lithography
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deploying multi-agent architectures, tool-using AI agents, or retrieval-augmented generation (RAG) systems. Advanced Technical Skills: High proficiency in Python and modern AI/LLM orchestration frameworks
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rules - applicants must not have lived or worked in the UK for over 12 months in the 36 months prior to recruitment Experience in programming and computational modelling using languages like Python, C
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skills (e.g., Python) implementing computational analytical pipelines and familiarity with machine-learning frameworks are required. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 19