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of the project is to reconstruct the environmental, biological, and societal drivers behind plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https
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. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research experience preferred. ________________________________________ Preferably
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skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications
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, documentation, and reproducible experiments suitable for internal adoption and MSc thesis work. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https
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Journalism program. An example of past work in this program can be viewed here: https://ctastopwatch.miurban-dashboards.org/. This role manages research projects and works under the supervision of our senior
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this public good. We seek an associate data analyst interested in international census data and geographic information systems (GIS) to join our diverse team of research and information technology professionals
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the EU in an international collaboration between 11 parties in the North Sea region. https://www.interregnorthsea.eu/stormsafe/about-us The focus is on developing smart systems to control and regulate
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following
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experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) Well-developed statistical software skills (preferably in R, Python, GIS) Competences in quantitative research
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Demonstrated experience in climate-impact or environmental modelling, hydrological analysis, or remote sensing/GIS. Proficiency in Python and/or R for climate or hydrological data processing. Familiarity with