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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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not be related to the research topic of the position advertised. Contact details of two individuals who can provide a reference upon request. You may apply prior to obtaining your master's degree but
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We
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of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions and in this way realizing new nanophotonic devices
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. Other applicants should provide evidence of eligibility to use such equipment for their application to be considered. Responsibilities and qualifications Your overall focus will be to strengthen DTU
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Wind Systems (Denmark), providing industry exposure and access to real-world data and systems. University of Granada (Spain), supporting academic collaboration and complementary supervision
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responsibility to provide the necessary documentation. Interviews and tests may also form part of the overall assessment. The Application Applicants are encouraged to read the information under “How to Apply
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integration of model checking and synthesis with machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. Based
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RISC-V ISA. Your project will involve developing and verifying time-predictable on-chip communication to support multicore systems and provide a basis for real-time automotive functionalities