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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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/mathematical physics starting in the Fall of 2025. The research group is directed by Villum Investigator, Prof. Charlotte Kristjansen and funded by the Villum Foundation. The theme of the PhD project would be
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Job Description A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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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
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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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candidates who are interested in joining our team as PhD fellow. The position is available from October 1, 2025, or as soon as possible thereafter. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
. Sci. U.S.A., 122, e2420721122 (2025) Place of work: Protein Research Group (Assoc. Prof. Thomas J.D. Jørgensen), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense
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information may be obtained from Prof. Shfaqat Abbas Khan (abbas@space.dtu.dk ), Dr. Cheng Gong (gong.cheng@dartmouth.edu ) and Prof. Mathieu Morlighem (mathieu.morlighem@dartmouth.edu ). You can read more
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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