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, enabling systematic and efficient exploration using modeling and simulation tools.For the full details please check: https://workingat.vu.nl/vacancies/phd-in-reconfigurable-spatial-accelerators
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- Enthusiasm and interest in disease ecology - Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote
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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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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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Junior Star project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions
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project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio
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, epidemiological, and environmental data Taking part in developing and validating predictive cancer‑risk models Contributing to spatial analysis and data integration in geographic information systems (GIS
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 14 days ago
the A20 mouse lymphoma syngeneic model with anti-mouse PSGL-1. The lymphoma microenvironment spatial composition and immune cell activation states will be characterized by advanced techniques. We also plan
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to experimentally test predicted models would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2357-PATACH-008/Default.aspx Work Location(s) Number of offers available1Company
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the urban environment. • Methodological design and supervision of macro- and micro-level analyses of cyclist crash occurrence and severity. • Management of data collection, processing, and spatial