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Field
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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calibration and artefact mitigation. · Develop and maintain reconstruction and data-processing pipelines using Python programming tools. · Implement quantitative 3D analysis workflows such as
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software such as R or Python, is essential. Excellent organisational and communication skills, with the ability to work both independently and collaboratively within a multidisciplinary team. A PhD (or near
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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. Computer Science, Statistics, Data Science, Health Informatics, or related field) Proficiency in relational database design, construction and querying (SQL) Proficiency in Python and/or R for data
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. You will have; Proven experience with deep learning¿based projects, particularly in machine translation or large language models Excellent coding skills, ideally in Python and/or C++ A relevant
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, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage. Key Competencies Ability to build and
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Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external
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or Computer Science. We are particularly interested in candidates that have research experience with software development, script-based programming (e.g. Python, C++/C# etc.) and synthetic data generation. We would
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signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate clearly across disciplines. Experience handling large datasets and