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spatial resolution, a key challenge of the position will be translating this synthesis into parameters suitable for modeling ancient agricultural production. The focus is on assessing changes in growing
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knowledge needed for testing of ecological hypotheses, performing bioeconomic analyses, and informing science-based policymaking. Where to apply Website https://www.academictransfer.com/en/jobs/359448/phd
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; Model relevant processes (e.g., bedload sediment transport, sediment connectivity); Mentor MSc and BSc students (potentially also PhD researchers); If desired, take on teaching responsibilities in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
large spatial scale. Ultimately, the work presented in this PhD project can contribute to such developments. The overall objective of this PhD project is to understand how wind erosion selects and
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of multi-scale urban energy infrastructures. The PhD will explore how these models can represent spatial and temporal dependencies in systems, such as building energy demand, district heating and cooling
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore