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Autonomous and drone-based infrastructure inspection and vibration monitoring Qualifications Successful candidates must hold a PhD degree in Civil, Mechanical, or Material Engineering with at least 6 years of
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Doctoral Programme in Engineering, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in civil engineering, structural engineering, mechanical engineering
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Programme in Ecology, Biodiversity and Global Change. Not hold a PhD degree. Hold a degree in Forestry and Natural Environment Engineering, Environmental Sciences, Agro-environmental Engineering, Biology
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undergraduate students, and assist with grant proposals. Applicants must have a PhD in civil or mechanical engineering, or closely related fields, and be less than 5 years post-receipt of the doctoral degree
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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for the future of healthcare. Job requirements We are looking for a highly motivated PhD candidate who is curious, hands-on, and excited to work at the interface of engineering, materials science and biology. You
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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Engineering, Biochemical Engineering, Biotechnology, Synthetic Biology, Bioengineering, Computational Biology, or a closely related discipline. A strong track record, or clear potential to develop a strong
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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data to drive continuous design improvement. Job Requirements: Bachelor/master’s or PhD in Mechanical engineering, or a related discipline. Minimum 5 years of hands-on experience in electrochemical stack