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manufacturing platforms, data engineering, and AI-powered maintenance solutions—key capabilities for driving efficiency in the competitive semiconductor industry and beyond. You will explore how operational
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, Associate Professor, Lykke Margot Ricard, e-mail: Lmri@iti.sdu.dk, phone: (+45) 65 50 86 81. If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying
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including pension) and excellent conditions to excel in their research. Further information is available Associate Professor Ramkrishan Maheshwari, phone: +45 65 50 16 86, email: ramkrishan@sdu.dk If you
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teaching experience, computational skills, and including personal contact information. Certificates/Diplomas (bachelor’s and master’s degree) – incl. transcripts of grades in Danish and/or English. Completed
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data sessions. For more information about the TRANSITION center, and the work package the PhD project is a part of, please contact director of center professor Pia Quist (pia.quist@hum.ku.dk ). See also
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such as the Web of Science and the Danish register data. A few start-up interviews (max. 15) with people from evaluation committees, employees from The Danish Innovation Fund as well as prior applicants may
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candidate will be enrolled in one of the general degree programs at DTU. For information about our enrolment requirements and the general planning of the PhD study program, please see DTU's rules for the PhD
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information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information. Further information about The Faculty of Engineering. About Us The
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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific