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nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience with research on innovation systems, infrastructure
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environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
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Legal Real Estate & Facilities Management Education Research, development, innovation Academic staff PhD Procurement OK Cancel Share this page Listen Published Monday 16 Mar 2026 Deadline Saturday 18 Apr
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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-relevant research environment. You have: A PhD (or a nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience
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aim for deployment in and around OWFs. THE CANDIDATES We are looking for an enthusiastic candidate with: an PhD degree in marine ecology, oceanography, extensive knowledge on North Sea zooplankton
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to apply Website https://www.academictransfer.com/en/jobs/359291/postdoc-in-machine-learning-and… Requirements Specific Requirements We will base our selection on the following components: a PhD degree in an
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong