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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically integrating power electronic converters and electrical machines we can use common structures and...
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30.08.2026, Academic staff For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological
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environmentally restorative farming system. This PhD position is funded and supported by a collaborative agreement between Hutchinsons and the charity LEAF (Linking Environment And Farming). Both organisations have
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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History Information science Juridical sciences Language sciences Literature Mathematics Physics Political sciences Sociology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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14 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 24 Aug 2026 - 23:59 (UTC
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2026 (or as agreed). Description of PhD Project The PhD student will be responsible for leading projects focused on the development of novel computational and AI tools to improve our understanding
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available through a college or EPSRC scholarship in competition with all other PhD applications. The scholarship will cover tuition fees, training support, and a stipend at standard rates for 3.5 years. Early
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minimum 2:1 Bachelor's or equivalent qualification in Electrical or Electronic Engineering; Biomedical Engineering; Bioengineering; Physics/Applied Physics; Mechatronics; Computer Science/Data Science
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Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. To apply, please send email to [email protected] with [PhD