Computer Science; Informatics
[Closed]
Work description
The acquisition and processing of clinical data, with a focus on cleaning, normalising and structuring it. The application of natural language processing (NLP) techniques, including recurrent neural networks, to analyse free text records and extract patterns. Building predictive models using Python libraries. Evaluating the performance of current screening using statistical metrics such as sensitivity, specificity, precision and acuity. The production of clear and informative visualisations to support the interpretation of results. Participating in the writing of scientific articles on the methods and results obtained.
Academic Qualifications
Computer science graduate
Minimum profile required
- Knowledge of Software Engineering;- Knowledge of Data Science.
Preference factors
- Experience in Python programming. - Experience in programming and natural language processing (NLP), neural networks or other machine learning techniques. - Experience in data visualization. - Fluency in written and spoken technical English.
Application Period
Since 29 May 2025 to 16 Jun 2025
[Closed]
Centre
Human-Centered Computing and Information Science