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Field
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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30th September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Information Systems Apply for this job See advertisement This is NTNU
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this PhD project, you will build a self-driving laboratory platform that will help solving outstanding questions at the forefront of (photo)chemistry by implementing automated spectroscopy workflows
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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. Two PhD studentships are available to address one or more of the following scientific challenges: 1. Mechanical Integration Structural and functional integration requires the development of novel
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The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Fully Funded PhD Research Studentship Project
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written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open-source scientific software ● A fully funded four-year PhD position (100 %) in a new