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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by an evaluation committee headed by Professor Hariklia
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and robotics). Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued). Marine fieldwork experience with deployed platforms is an advantage. You must
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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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absolute environmental sustainability assessment of food systems. Have programming skills and an understanding of key methodological concepts relevant to the field. Be driven by a strong motivation for
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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
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. Good communication skills in written and spoken English are required. Most importantly, you should strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Only applicants
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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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master's degree. The degree could be in aquatic science, biology, physics, math, engineering, or similar. You are expected to demonstrate proficiency in written and spoken English. Analytical skills and
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advantageous. The candidate should be highly motivated, able to work independently and should be confident in both written and spoken English. The applicant should strive towards scientific excellence, be