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Field
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management of multiple remote sensing data types, including planetary missions. Skilled coding in languages such as Python and/or C-languages; experience with industry remote sensing software packages such as
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systems (RTOS) such as FreeRTOS or Zephyr. Experience with cloud-based data ingestion and analytics tools. Proficiency in programming languages including Python, C++, and/or Java. Familiarity with IoT
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strategies in Minnesota and the Midwest region. The applied climate scientist will join a growing MCAP applied research team with climate modeling, GIS, applied economics, and adaptation science expertise
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ArcGIS Dashboards. Proficiency in Arcade and developing SQL queries. Advanced knowledge of Python and GIS-relevant programing and scripting methods. Knowledge of modern web design and development practices
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community-wide planning efforts. Specific tasks include conducting outreach to encourage use of the Toolkit, carrying out Toolkit steps for under-resourced communities (e.g., conducting GIS analyses
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data analysis, spatial (GIS) analysis, data visualization, and related empirical projects. The AD also works closely with the Barnard Library and Academic Instruction Services (BLAIS) team and other
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Preferred qualifications At least 1 year of experience in data analysis. Clean, efficient coding abilities, preferably in R and/or Python. Experience working with geospatial data in R, Python, and/or GIS
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. - Experience with Python, SQL. - Familiarity with network topologies and wireless network architecture. - Familiarity with operating systems like Ubuntu, Linux, Windows, containerized environments (e.g., Docker
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complex issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging
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implementation of surveillance systems and data pipelines. Knowledge of Structured Query Language (SQL), relational databases, Geographic Information Systems (GIS), SaTScan, and Informatics. In-depth knowledge