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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
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications Sensors and actuators Scientific writing and presentation Previous publication is
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degree in engineering, preferably supported by first academic publications Documented experience with simulation and Digital Twins Strong mathematics skills and practical knowledge in 3D modelling Strong
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with embedded systems programming (Preferably) with a strong background in mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications
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below. Your qualifications We expect you to have a strong quantitative background in economics and econometrics or statistics as well as excellent analytical and mathematical skills. We also expect you to
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an MSc background in Industrial Engineering, Management Science/Operations Research, Computer Science, Mathematics, or a similar degree. Additional qualifications include: Good Experience with
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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23 Oct 2025 Job Information Organisation/Company Technical University of Denmark (DTU) Research Field Engineering » Chemical engineering Chemistry » Physical chemistry Engineering » Materials
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for Quantitative Sustainability Assessment of the Department of Environmental and Resource Engineering (DTU Sustain). The section spearheads the development of sustainability assessment methods. You will become part