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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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available1Company/InstituteCentre d'études spatiales de la biosphèreCountryFranceCityTOULOUSEGeofield Contact City TOULOUSE Website https://www.cesbio.cnrs.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting-edge methods, including spatial
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate
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with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA
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Centre of Excellence “Temporal and Spatial Dynamics of Forest-Related Chemical Interactions in the Anthropocene.” The doctoral researcher’s duties include studying the effects of climate change, air
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approaches to analyze regional and local diversity of birds in forests and savannahs worldwide. We are keen on macroecology, biogeography, macroevolution, and modelling. We are seeking an ambitious