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have a critical approach to the formulation and testing of hypotheses. In addition, we appreciate a good sense of humor. Written and spoken English is a prerequisite as there is teaching obligations
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prior experience in at least 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
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of the PhD 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
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some basic Danish. In addition, we are looking for people with experience or knowledge with one or more of the following topics: Proficiency in system programming languages like GO, C#, Python, Java, and
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, Programming, and Physics. Python has been selected as the standard programming language in these courses, and all new students are expected to have a functional Python environment on their personal laptops
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teaching at the BSc, MSc and PhD levels. You will develop teaching activities to support DTU’s ambition about having Europe’s best engineering education. DTU employs two working languages: Danish and English
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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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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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
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approval, and the candidates will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see