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Field
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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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, or fibre-based optical clock comparison and dissemination. Experimental automation Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.
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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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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\). Required
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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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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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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