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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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Job description: DESY The European XFEL is the most powerful X-ray Free Electron laser in the world. The accelerator complex, including the 1.5 km long superconducting accelerator, is operated and
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characterize inorganic compounds or materials using techniques such as X-ray diffraction, NMR spectroscopy, and electron microscopy. Analyse experimental data, interpret results, and contribute
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This is a one-year full-time position. It is possible this position might be extended for a second
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journals. For the PhD position: pursue a doctoral degree at TUM. For the postdoctoral position: contribute to research supervision and proposal development. Your Profile Master's degree (PhD position
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collaborating effectively in a multidisciplinary consortium. Strong analytical and critical thinking skills. Excellent project management and organizational skills. Ability to supervise MSc and PhD students
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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hold a PhD in machine learning, computer science, bioinformatics or equivalent. You combine strong analytical skills with the ability to work independently and lead collaborative efforts. You are a team
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science