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modeling, photovoltaics, high-temperature experimentation, and solar energy technologies. Thermophotovoltaic (TPV) systems convert thermal radiation emitted by a hot surface into electricity using lowbandgap
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domestic wildlife, and the inhabitants of the Jura Mountains 2) Spatial and temporal analysis of hunting pressure and lynx presence within the study area 3) Population dynamics of chamois and roe deer in a
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LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our understanding of vegetation
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électriques ou électromagnétiques (Arnason et al., 2025, e.g. Vilhjalmson et Flovenz, 2017, Lévy et al., 2019). L'objet d'étude concernera la caractérisation à haute résolution spatiale des systèmes volcaniques
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modelling is not required. However, a strong ability to perform 3D spatial visualization, particularly when working with fragmentary or incomplete fossil data, is essential. Languages: French and English
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https