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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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PDN interconnects, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal
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For further information about the structure and rules of the PhD programme, please contact the PhD Administration email: phd@hrsc.ku.dk Information about the recruitment process is available from HR South
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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seeking an academic career in primary care cancer diagnosis, or in data analytics more generally. Main duties and responsibilities Undertake doctoral research on pancreatic cancer diagnosis Finalise project
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/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 2 days ago
breeding populations to investigate the genetic basis of traits such as visual anther extrusion, heading date, plant height, and grain yield. You process genotypic data, ensure its alignment with phenotypic
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performing tests, possibly in collaboration with clinical partners. Qualifications Applicants should hold a MSc in electronics, computer engineering, Physics, or a closely related field. Required Qualification
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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship