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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R
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teach four courses at both the upper-division undergraduate and graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES
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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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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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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