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Field
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remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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study which will cover a range of VH and VHM loading combinations and uplift scenarios. Using the validated numerical model, model the impact of different climate scenarios on VHM and tensile behaviour
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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. The candidate will work at the intersection of climate resilience assessment, life-cycle modelling and uncertainty quantification. The successful candidate will collaborate with three research groups within
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staff position within a Research Infrastructure? No Offer Description About DESIRE Climate change and energy security challenges demand a rapid transition from fossil-based energy production
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and future mechanisms in the evolution of the Earth's climate and external environment, using observations and modeling exercises. The PhD thesis is funded by the French-Brazilian (ANR-FAPESP) AMACLIM