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skills in scientific computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with
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or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
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, research and evaluation, and project management are highly desirable. Skills in quantitative and qualitative research methods; experience using Adobe Creative Cloud software, including Adobe Illustrator and
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and develop training materials related to energy–water resilience and futures analysis Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/soil-water-systems
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software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out
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researcher in the TERSE project and part of the software engineering research group at HVL https://www.hvl.no/en/research/group/software-engineering/ . The research group currently include 10 professors and
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sharing and integration of systems. This role focuses on innovative solutions leveraging cloud and edge technologies, enhancing data connectors, and pushing the boundaries of data integration. You will play
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the project leader in the research project - “Development of automated surface waviness detection and analysis from high-density point clouds”. They will be required to: (a) conduct advanced research on
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is highly preferred. • Systems: Experience running experiments on HPC clusters or cloud environments. • Documentation: Ability to use LaTeX and scientific writing tools for technical reporting
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-performance computing (HPC) clusters or cloud GPU instances. Analytical Rigor: Ability to design ablation studies to isolate the impact of individual loss components. Communication: Ability to clearly