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reporting tools such as Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple software packages preferred, such as Java, python, Unity SAS, R, etc
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completed by first day of employment. Minimum of two years’ experience in radiometric sensor calibration or related GIS application using remotely sensed optical imaging data. Experience working with Python
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) Proficiency in computational programming (Python, C++, or related) Good track record of research publications Department Unit/Website: https://www.engineering.iastate.edu/ Proposed Start Date: April 1, 2026
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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, capacity planning, student success modeling). Collaborate with a faculty mentor to define project scope, methodology, and deliverables. Build models and perform analysis in Python or R. Prepare clear reports
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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research work. Where to apply Website https://www.academictransfer.com/en/jobs/357791/phd-researcher-position-urban-t… Requirements Specific Requirements the candidate holds a master degree in Urban
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; Strong experience in programming, e.g. Python, MATLAB, cluster compute Strong grasp of the English language; Eager to collaborate and to publish high-impact papers. Candidates with double or mixed degrees
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reporting tools (e.g., Cognos, SQL, R, Python, Tableau, Power BI). KEY RESPONSIILITIES & ACCOUNTABILITIES Project Management Lead and facilitate cross-functional category projects that comply with approved
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students working in areas closely related to that of the proposed research. All numerical developments will be made using the Python programming language. The candidate will benefit from the digital research