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multidisciplinary forest research environment and work with academic, public- and private-sector partners. Methods will include field experiments and forest inventories, measurements of stand development and tree
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broadleaved trees for sustainable forests, materials and energy. The doctoral student will join a multidisciplinary forest research environment and work with academic, public- and private-sector partners
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risk management. Reliable numerical models can improve our understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you
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of synaptic function. We are also interested in understanding how disruption of these mechanisms may contribute to neurological disorders. The successful candidate will join a multidisciplinary research
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in AI-Supported Long-Term Hydropower Scheduling Apply for this job See
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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Netherlands alone have rheumatoid arthritis (RA) with a majority suffering from debilitating pain and inflammation that makes hand dexterity and work, at times, impossible. While anti-inflammatory and analgesic drugs