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Field
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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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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Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other relevant frameworks. An awareness of SaaS
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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new
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local case studies Good programming skills, specifically R and Python Familiarity with statistical approaches used for model evaluation, including geostatistics and timeseries analyses Previous research
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demonstrable ability to publish, including the ability to produce high-quality academic writing strong computing skills, including programming in python/R/C or equivalent languages. motivation, passion and
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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new
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modifying, maintaining and writing scripts (e.g. Bash, Python, Perl); and with automated desktop/laptop deployments. You will have a University degree and/or relevant experience alongside excellent
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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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Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and