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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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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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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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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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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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. 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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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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program Technical University of Denmark (DTU) and Novo Nordisk have initiated a strategic partnership and created a joint cross-disciplinary research program aimed to tackle one of the life science
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction
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candidate 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 DTU's rules