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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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biology, experimental pathology including creation and phenotyping of genetically engineered mice, histology, immunohistochemistry and spatial -omics, tissue processing and biospecimen science, database
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. Proficiency in statistics and spatial analyses and map-making using R and/or ArcGIS Experience in analysis of forestry and environmental data Strong communication, writing, and organizational abilities Desired
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
: Research and data analysis: Collect, organise, and systematise relevant data from different sources (scientific, technical, environmental, and social); Develop and apply quantitative models to simulate
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. •Experience conducting vulnerability assessments, spatial analysis, or applied environmental research preferred. •Strong ability to communicate technical findings in accessible, policy-relevant formats
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comprehensive training aimed at building essential scientific and transferable skills. Job Duties: Implementation and bioinformatic evaluation of transcript- and protein-based spatial single-cell multi-omics
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species of conservation concern. We use field data, bioacoustic monitoring, spatial analyses, community science data, and quantitative approaches to provide applied outcomes for pressing conservation issues
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qualifications/requirements: Experience on the analysis of time series, and/or spatial, and/or space-time data Ability to start in the next 2 months Evaluation criteria Maximum score 1. Degree in Mathematics
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-performance computing and Linux environment. Awareness of metadata standards and reproducible open science practices. Experience with GIS for spatial analysis and cartography. Contribution to research proposals