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Field
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report to the Chief Investigator of the PRANA research programme. Duties and Key Responsibilities Utilise Python / SQL / Languages to create automated data flow pipelines from multiple sources into a
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report to the Chief Investigator of the PRANA research programme. Duties and Key Responsibilities Utilise Python / SQL / Languages to create automated data flow pipelines from multiple sources into a
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Takats. Key responsibilities include the development of a platform that integrates signals from multiple imaging modalities, including video, probe-based Confocal Laser Endomicroscopy, Mass Spectrometry
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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with imaging-based data. Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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, to provide in-depth technical support in data science, artificial intelligence (AI) and research software engineering. Team members are assigned to multiple long- and short-term research projects from across
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data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python or other available tools with an interest in
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development Experience of working with C/C++ or Python ROS 1 or 2 or similar middleware Fluency with Linux, Git, containerisation (Docker) and CI/CD (GitHub/GitHub Actions) Strong background in software