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Field
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. Knowledge, Skills, and Abilities: Advanced in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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, protein biochemistry and/or cancer biology. Experience with CRISPR genome editing, mouse models or omics technologies is considered an advantage. Contact(s) for information on the position (identity
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final grade above 14. Preference factors: - Knowledge of AI governance and the lifecycle of AI systems; - Experience in the analysis, specification, or modelling of organisational processes. Research
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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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. HARPNET’s scientific programme is integrated across three scientific work packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities
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to the interdisciplinary study of images as instruments of human knowledge and cultural practices. It investigates the functions and effects of images throughout history and in our contemporary society from analytical and
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employment, skills development and student support, UC is a place where you can grow ideas, contribute knowledge, and make a difference. About the role: Are you passionate about advancing research
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knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5