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Field
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with a wide range of fishery stakeholders (commercial, recreational, NGO, fishery managers, and others) to model preferred management strategies identified by stakeholders for individual jurisdictions
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modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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resistance, utilizing human and murine cells, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and
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Take a leadership role in the development of a multi-strain Streptococcus pyogenes computational transmission model Full Time/2 Year Fixed Term Research Only Appointment, Remuneration at Academic
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and coordination skills to collaborate with laboratory
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solutions to the key challenges of real-time condition monitoring. Analysis of large spatial and temporal remote-sensed datasets and development of advanced models to enable the monitoring of historical and
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electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping of innovative hardware solutions, including harmonic mitigation and thermal