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, for the project “PREDICT-OAE project (From data to PREDICTion: modelling temporal ecological–biogeochemical links under Ocean Alkalinity Enhancement”, financed by internal funds from CIÊNCIAS and FCiências.ID
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, characterisation and control of Listeria monocytogenes in Irish food production systems. Based in the School of Biosystems and Food Engineering at University College Dublin, the role supports national food safety
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of methods for real-time prediction of quasi-periodic hormone profiles and the detection of early signals for disease by combining mechanistic modelling with methods from machine learning to enhance inverse
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16th April 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Climate Dynamics and Prediction Apply for this job See advertisement UiB - Knowledge that shapes society UiB
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Predictive, Preventive, Personalized, and Participatory (P4) approaches in health and medicine. Within the IRAP framework, the project’s scientific goal is to discover and validate novel therapeutic concepts
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities
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essential for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic