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. The top-up scholarship will be offered for a duration of 3.5 years for PhD students, and 1.75 years for Master of Philosophy students. The scholarship duration will be extended as appropriate for part-time
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study in mathematics, statistics, machine learning, or science that will establish eligibility for PhD study. Applications close on 28 November each year. For more information and to apply visit
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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reconstruction methods to generate as-built building models for the detection of dimensional deviations, installation errors, or design compliance issues. Research into using robotics for automated, repeatable
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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handling robots for high throughput crystallisation. The broad aim of the project is to enhance the deliverables of the NCS to aid users in obtaining crystallographic data on a range of materials across a
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through the integration of high-performance materials, robotics, automation, computation, and process optimization. Affordable mass customization of building designs that are produced with advanced