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Job Posting Title: Enterprise Network Engineer III ---- Hiring Department: Enterprise Technology - Infrastructure ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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The University of North Carolina at Asheville | Asheville, North Carolina | United States | 29 days ago
Asheville campus community across a variety of technologies. Typical areas of support include client hardware, operating systems, applications, printers, and networking. Examples of technologies supported
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‘business’ (UiO and MU) Read more about the areas here: https://healenae.eu/phd-calls The candidate must develop a project description, which should be submitted as a part of the application. The description
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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and to complete the project within the set fellowship period. The successful candidates must be available to start by 1 September 2026. Note that applicants can be of any nationality. However, the
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Experience in scientific programming Candidates without a Master’s degree must submit their thesis within the application deadline and present a date for the final exam. Desired qualifications: Experience with
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Programs for faculty, staff, and students. This position supports instructors in the development, troubleshooting, and teaching of courses designed to engage and assist students achieve measurable learning
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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two applications settings to https://www.titan.uio.no/innovasjon/2025/noen-barn-slutter-a-puste-om-natten.html and https://www.titan.uio.no/livsvitenskap/2024/lager-kunstig-«pust»-for-a-fa-gjore
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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in