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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer
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biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by prof. Patrizio Mariani, Dr. Jon Christian Svendsen and Dr. Fletcher Thompson We offer DTU
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group of Asst. Prof. Soumik Ray at DTU Bioengineering is looking to recruit a PhD student, to start from 1 October 2025. The laboratory performs cutting-edge experimental research in the field of protein
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Research Environment You will be part of the research group led by Assoc. Prof. Rasmus Siersbæk (Siersbaek group ) at the Dept. of Biochemistry and Molecular Biology (BMB) at SDU. The Siersbæk group is part
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properties of skeletal muscle during static and dynamic contractions. The student will also participate in early-stage algorithmic work to model muscle architecture and behavior across contraction types. In
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing