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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 5 days ago
biodiversity and its uses: 1) Assessing the current state of marine biodiversity, 2) Understanding and modeling the functioning and evolution of marine organisms and ecosystems, 3) Evaluating the causes
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research in the areas of space physics, condensed matter physics, nanotechnology, photonics and theoretical physics. The Department of Physics is offering a PhD position a project on how ionospheric currents
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INDB together will recruit one PhD student focussing on the development and application of a vascularised brain-on-chip with integrated sensors. A physiological model of vascularised brain tissue would
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the sustainable packaging of granular and complex fluid materials through virtual prototyping. By coupling the open-source software MercuryDPM for discrete particle modelling with oomph-lib for the simulation
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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible
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traffic management. Model and assess the integration of hydrogen and electric aircraft into European airspace and support the EU Green Deal net-zero emissions goals. Job description We are seeking a
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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and AI Infrastructure priorities, this PhD project pioneers fundamental technologies of Solid-State Transformers to enable highly efficient, reliable, and bi-directional energy flow control. You will
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groundwater flow models. Current groundwater flow models often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult if these models