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Field
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 19 days ago
conducted doctoral research within the area of climate change modelling, GIS-based risk assessment, visualization, etc. The ideal candidate should also have several of the following characteristics: ▪ Strong
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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); certification before January 31 is mandatory. *Copies of ACLS and BLS certification Job Category : Faculty Primary Location : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 20318 - SOM-SRG-GI
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degree or a good honours degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field with three or more years of research / relevant work experience. Applicants
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
learning. Interest in tropical ecology, public health, and sustainable development. Experienced and highly skilled in GIS and remote sensing. Strong communication skills and an interest in stakeholder
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of completion. Projects for 2024-2025 will reflect the interest of successful candidates and may fall into three broad categories: historical GIS, historical demography, and climate history. Historical GIS
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research, focusing on immunotherapy and other modulatory strategies for GI cancers; collaborate with a multidisciplinary team to design and execute research projects; analyze and interpret data, ensuring
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. Company Summary: Ironwood Pharmaceuticals is a leading global gastrointestinal (GI) healthcare company on a mission to advance the treatment of GI diseases and redefine the standard of care for GI patients
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team