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Field
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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scientific instruments using python software and create documentation, disaster recovery plans, and production-ready systems design and implement data analysis workflow infrastructure to support computational
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for real-time sensor data collection, transformation, and distribution onboard. You’ll work closely with a small development team using Python, PostgresDB, TimeScaleDB, and Docker, and support the ship’s ICT
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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and presentation of findings to collaborators. Develop and implement advanced analysis tools using R and Python, contributing to coordinated research outputs, reports, and manuscripts. Conduct
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. Programming: Python (PyTorch, spaCy), SQL, shell scripting, and relevant knowledge in Natural Language Processing (NLP), including Transformer architecture and prompting methods. Excellent written and verbal
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: Familiarity with CI/CD pipelines, GitOps tools (ArgoCD, Flux), monitoring frameworks (Prometheus, Grafana), and scripting in Python Research Software & Data: Hands-on experience with database management