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governance and ethical AI practices. Exposure to HPC, cloud, or edge platforms desirable. Knowledge of regulatory and ethical frameworks around AI in health/agri-health
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Experience mentoring junior engineers or researchers. Familiarity with ethical AI, GDPR, and regulatory frameworks. Familiarity with HPC, cloud, or edge environments for AI/ML development and deployment
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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the Biomass Combustion system and RPB-CO2R systems in a unified model. Develop a cloud-based web simulation tool that combines a simplified numerical version of the REUSE system. Key Attributes required: A
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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and skills of the successful applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods