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focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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Boson Sampling machine. These ambitious projects all focus on addressing fundamental and technical challenges in photonic quantum computing using continuous-variable entanglement. The successful candidate
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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results at conferences, Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students You must have a PhD in macro-energy system modelling or a similar field. Strong coding skills
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, Anders Kristian Munk and Anders Koed Madsen as well as a PhD and a Post Doc. Responsibilities and qualifications You must have a PhD degree or documentation by means of a letter from your supervisor
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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present at international conferences Contribute to project meetings and interdisciplinary research activities We are looking for a highly motivated researcher with: PhD in Mechanical Engineering, Materials
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scientists. Publish research findings in high-impact academic journals and present at international conferences. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD students. Your
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materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300