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readily integrated in LCA softwares. This development will offer a unique opportunity for international collaboration in the fields of bioprocess engineering and quantitative sustainability assessment. Our
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at the Department of Civil and Mechanical Engineering as a PhD student, where you will collaborate with a team of experts dedicated to advancing the digital transformation of the built environment. Our research
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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things work. You must have a two-year master's degree in Physics or Engineering (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges