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or an equivalent qualification; (b) be familiar with deep learning algorithms and agent development; and (c) motivation to pursue accomplishments. Applicants are invited to contact Dr Zhou Yanghong
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evolution, long-term changes in tectonics and magmatism, and the formation of critical metal-bearing systems. This role sits within the NERC-funded “NITRO-MET: Reactive Nitrogen Supply Driven by Orogenic
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following established procedures and guidance from academic staff. You will assist with the analysis of image data to extract quantities, such as contact angle and droplet shape evolution, using established
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The Department of Physics at Montana State University conducts nationally recognized research in physics education and STEM learning. This position will contribute to projects focused on developing cognitive
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engineering, modelling, and simulation of bioreactor. The postdoctoral researcher will join a multidisciplinary and will contribute to the development of comprehensive computational modules that simulate
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and Mathematical Sciences | NTU Singapore We are looking for a Research Fellow to study quantum materials via Machine Learning. The role will focus on develop Machine Learning technique to help DFT
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. Oversees graduate student records management in alignment with registrarial standards and leads the development of institutional and policy‑driven reports. Supervises program staff, including supporting
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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fixed term contract until 31st March 2030. We are seeking an experienced data and infrastructure specialist to lead the development of a national database supporting UK mental health research capabilities
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- Developing a Psychobiological Model of Adolescents' Social Media Use and Overuse Based on Social Reward". This large-scale project is led by Dr Niklas Ihssen and Prof Mary Hanley and funded by the Huo Family