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on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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activities adhere to ethical guidelines and patient data privacy regulations. Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring
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inference, phylogenetic analysis, or machine learning pipelines depending on profile). • Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets. • Develop data
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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of dietary data derived from food frequency questionnaires in large population-based cohorts • Assist in deriving and validating diet quality indices (e.g. Planetary Health Diet Index) • Support assessment
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day-to-day implementation of this large-scale study under the supervision of the Principal Investigator. Key Responsibilities: Liaise with participating primary schools and coordinate day-to-day
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receive valuable experience in working with large-scale survey data and data analysis. There will be opportunities to work on publications together, as well as to contribute to other exciting projects
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, large language models, prompt design, adaptive systems, data analysis, experimentation, and research software prototyping. Ability to translate research concepts into practical technical designs