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polymerization processes and products made from emulsion polymers. Applicants must have a PhD in chemistry or chemical engineering (or a related discipline) and should have some experience in polymers and
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a M.Arch, MLA, or other terminal degree in Architecture, or a PhD in Architecture, Engineering, or a related field by the employment start date; and demonstrated potential to attract external funding
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Application deadline: 07/01/2026 Research theme: Theoretical Physics, Quantum Theory, Quantum Information, Applied Mathematics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5 yearlong
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of geotechnical engineering. Required Qualifications: The ideal candidate will hold a PhD in Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two
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As part of the Nordic EMBL Partnership for Molecular Medicine, the Institute for Molecular Medicine Finland (FIMM) is recruiting 4–5 doctoral researchers in the FIMM-EMBL International PhD Programme
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of Environmental Technology is a large and vibrant research group of about 30 scientific staff-members, 10 laboratory and technical support staff, 80 PhD candidates and 6 postdocs. The group has close collaborations
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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
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the lab. Communicate research findings effectively and contribute to collaborative projects. Job Requirements PhD in structural biology, biochemistry, or a related field. Extensive technical experience in
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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property