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Field
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: https://orise.orau.gov/usda-ars/ Research Project: Research will focus on the swine bacterial pathogens Streptococcus suis and Glaesserella parasuis, both of which are major contributors to high-priority
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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Excel proficiency ii. Dashboard creation and data processing iii. Programming, preferably Python Workplan and objectives to be achieved: Definition of indicators and creation of dashboards for monitoring
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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years in the Norwegian educational system A solid background in scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired
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). Demonstrated experience in signal processing, including signal detection, characterisation, or waveform analysis. Proficiency in scientific programming (Python or equivalent) and experience working with large
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding
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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