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Essential requirements: • PhD degree in civil engineering, timber engineering, wood/timber science, sustainability/industrial ecology or closely related fields • Demonstrated ability
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, or near completion, of a PhD in Electrical Engineering or a closely related discipline. Demonstrated expertise in power system dynamics, stability analysis, renewable energy integration, or related areas
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/readout architectures. Key Responsibilities: As an integral part of the project, the Research Fellow is expected to conduct research in integrated polaritonic devices and waveguides, including the design
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
in refereed journals, presenting their work at seminars and conferences, and collaborating with other researchers. The successful applicants will hold a relevant PhD (or awarding of a PhD within six
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to conduct research studied in an NTU lab
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information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler
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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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future of work, and aims to develop evidence-based design principles for responsible and effective use of Generative AI technologies. Key Responsibilities: Design and conduct quantitative, qualitative, and
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genetic code expansion and click chemistry, alongside biochemical, biophysical and cell biological techniques to study insulin behaviour in physiologically relevant systems. The postholder will work closely
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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise