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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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Annie Spratt 18th October 2026 Languages English Norsk Bokmål English English PhD Scholarship - AI for Forest Robotics Apply for this job See advertisement Key Information The PhD fellowship aims
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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PhD Studentship - "I'm a P-Leaver - Biochar for Phosphorus and PFAS removal from water." This PhD project addresses two critical water quality challenges through a single, innovative approach: the
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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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. 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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» Materials engineering Engineering » Mechanical engineering Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Oct 2026 - 23:59
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investigate how AI methods and workflows can be designed and adapted to handle large, heterogeneous EO tasks efficiently and reliably. You will develop and evaluate approaches that address the trade-offs
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experience that qualifies you for a range of leading positions in business, administration, higher education and research. Your immediate manager will be the Head of Discipline. About the project This PhD