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study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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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 Professor Joerg Jinschek. We offer DTU is a leading technical university
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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of Health and Medical Sciences. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. The PhD student is
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three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage strategy for scalable PBM
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hardware description language such as Chisel, VDHL, or Verilog. Knowing Chisel is a bonus. Knowledge of real-time systems System programming in C You must have a two-year master's degree (120 ECTS points
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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 Associate Professor Roberto Galeazzi and Associate Professor Dimitrios
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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban