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programming and analytical skills. Ability to work independently and in collaboration with diverse teams. We offer DTU is a leading technical university globally recognized for the excellence of its research
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environment research experience working with real-world non-linear dynamic data, networks, and ideally with applying coupled oscillator models strong programming skills in e.g., Python previous research
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/matrix population models) and programming (e.g., R). Demonstrated ability to work independently, exercise critical thinking, and proactively address challenges with minimal supervision. Strong written
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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(ISO 21434 and/or UNECE WP.29 R155) Automotive system security, particularly in battery management systems (BMS), security, including anomaly detection and firmware protection Programming for security
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strategic research programs that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry. Technology for people DTU develops technology
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applying. The application must include: Cover letter (max. 1 page) Project description and research plan (max. 4 pages) Curriculum Vitae with applicant's e-mail and phone number Documentation
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a