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Field
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FieldEngineering » Industrial engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills Numerical computer simulation of fluids and structures and their interaction. Signal processing and
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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equipment. This position involves both technical and research support responsibilities. The successful candidate will contribute to method development, target and non-target analysis of environmental
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for the salary range for this position. A reasonable estimate for this position is $69,073 - $82,836. Percent time: 100% Anticipated start: January 1, 2026 Position duration: 2 year position Application
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level the candidate is expected to be able to communicate in Danish. Who we are In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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at CENTMED to enhance the surface chemistry of implant materials, improving biocompatibility and osteointegration. This will involve surface modification of implants through methods such as plasma treatment
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organize data. Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf ]. A reasonable estimate for this position is $69,073- $82,836. Application Window Open date: October 31, 2025 Next
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, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong