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Field
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questions related to infrastructure and development, and a thorough knowledge of applied econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS
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, which has led to its certification by GIS IBiSA. We are looking for a project manager to develop the suspect screening part of the ANR-funded WATER-RECALL project. The aim of this project is to determine
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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advanced knowledge of GIS Be rigorous and methodical Be able to listen to instructions and then report on difficulties and progress Additional Information Work Location(s) Number of offers available1Company
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for gastrointestinal (GI) cancers. Working within the O’Neill lab, you will play a central role in the collection, processing, maintenance, and characterisation of tumour and blood samples using a perfused culture
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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applications in environmental systems. • Experience with Google Earth Engine, GIS, and/or AI agents for data processing. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary
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such as surface hydrology, GIS-based spatial modeling, Artificial Intelligence (AI) and advanced data science. The successful candidate will engage in cross-disciplinary research with faculty from
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets