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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence
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biology and/or reproductive endocrinology covering immunological issues as well as experience in obtaining competitive third-party funding are required. Experience and expertise in the analysis of high
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an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement. The position is
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. The faculty member will be expected to able to teach courses at the graduate level on the analysis of data pooled across time and space. This will include time series analysis, spatial econometrics, and
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to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches to improve water resources management and urban
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cormorants with an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement
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and data handling - information provided in the CV and/or in the motivation letter; Demonstrated in-depth knowledge of geoprocessing and spatial analysis tools - information provided in the CV and/or in
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics