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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to tarmo.soomere@taltech.ee CV Motivation letter Degree certificates as required by the university
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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this position? Please contact Dr Jens Bunt. Jens will be happy to tell you more! Where to apply Website https://www.academictransfer.com/en/jobs/357450/phd-student-immune-landscape-an… Requirements
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour
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postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star project Socio-Spatial Situatedness of Roman Professions and its Impact on
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Research Foundation), the Research Group Functional Architecture of Memory (FAM) at the Leibniz Institute for Neurobiology in Magdeburg (Germany; PI Magdalena Sauvage) is seeking a highly motivated PhD