2,424 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions
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Application deadline: 5pm on31/07/26 How to apply: The successful applicant will be awarded a 4-year studentship covering: Tuition fees (Home student rate) A tax-free stipend to help with living costs, set at the UKRI minimum rate * (£21,805 for 2026/27), which increases annually in line with...
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Description Do you want to develop sustainable energy storage solutions for the future? Do you want to use your curiosity, technical knowledge, and enthusiasm to contribute to the UN sustainability goals and
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Renovation Decision-Making”. The PhD position is part of the Horizon Europe CLIMABUILD project. The candidate will develop probabilistic life-cycle modelling methods to support stakeholders in identifying
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In this project, we develop a new mathematical framework to efficiently model
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these studies will be integrated into a unified hydration classification framework. The candidate will contribute to the development of statistical and analytical approaches, including multivariate modelling and
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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are developing a suite of models to deliver a through-process microstructural and mechanical property prediction framework for steel. By integrating these models into a cohesive digital twin architecture, the work
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. This PhD will develop agentic explainable AI methods for nucleotide foundation models. Building on emerging preliminary work in the AI for Bioscience group, the project will create computational methods
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. The studentship will start on 1st January 2027. Project Description This PhD focuses on developing and deploying underwater cameras systems to reveal patterns of habitat use by inshore fish assemblages and to
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actors involved. Positioned at the intersection of behavioural science, agricultural economics, and agricultural systems modelling, this PhD project will contribute to the development of modelling tools