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expertise of the successful candidate. Potential focal areas could include: Integrated modeling approaches that quantify the inferential contributions of eBird and acoustic monitoring data and inform sampling
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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, in different contexts and at different spatial scales. To this end, various compartments (air, water, soil, sediment) will be investigated, at the scale of a university campus (Tertre) and a
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Institute for Translational Medicine and Liver Disease | Strasbourg, Alsace | France | about 1 month ago
including sc/snRNA and spatial transcriptomics, patient-derived models, systems biology and AI platforms Opportunity to obtain a PhD within the U Strasbourg MD-PhD program Tenure track program at Inserm and U
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm
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for clinical translation. The successful candidate will contribute to a multidisciplinary translational research programme integrating patient-derived clinical specimens, advanced preclinical models, and
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key physical and biogeochemical dynamics in the ocean. To support this mission, we
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large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation
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completion, in a relevant subject such as data science, agricultural or environmental economics, environmental science, geography, soil science, agroecology, land-use modelling, sustainability science, spatial