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. More information can be found on our website: https://www.b-phot.org . The candidate will be supervised by Prof. Francis Berghmans, and co-supervised by Dr. Sidney Goossens and Dr. Sergei Mikhailov
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for data science and ML prototyping. Experience with C/C++ or embedded programming for deploying algorithms on edge devices is highly desirable. Statistical intuition: You understand the challenges
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The Faculty of Arts is internationally leading for its research (https://www.arts.kuleuven.be/english/research ), home to a broad array of specializations and notable for the strong connection it
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companies and asset owners. International collaboration and industrial workshops are embedded in the project, providing you with excellent exposure and networking opportunities. Job requirements You are a
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The proposed PhD topic is embedded in a highly successful and internationally recognised research program devoted to the study of neutron-deficient odd-mass gold isotopes and key structural phenomena such as
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team meetings, seminars, workshops and conferences, and in the research activities of the De Wulf-Mansion Centre for Ancient, Medieval and Renaissance Studies, in which the project is embedded
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials