436 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"U.S"-"https:" positions at Virginia Tech
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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College of Science department as assigned. Cross-training to familiarize themselves with another undergraduate program offered in the College of Science is expected. As necessary, the selected candidate may
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of comprehensive benefit programs, policies and procedures with a focus on retirement plan administration. The retirement analyst works with a diverse population and classification of employees to ensure a
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calls. Preferred Qualifications Successful completion of accredited journeyman program or similar experience. | Significant years of overall electrical experience. | Considerable experience in
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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with all units across the Office of Research and Innovation—including within the Office of Sponsored Programs and the Division of Scholarly Integrity and Research Compliance — to develop software
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system, to track and receive office supply orders, plan events, complete tasks, assist with initiatives, and to inventory and tag equipment. This position will also complete other administrative duties as
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undergraduate courses in the department’s programs in literature and creative writing; courses in the creative writing MFA program may be assigned depending on the candidate’s qualifications and departmental need
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. Position Responsibilities ● Develop a nationally recognized systematic program of research in life sciences communication. ● Initiate, build, and sustain external funding to support graduate students and the
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curriculum and program development related to music technology. Certified proficiency with professional toolchains and languages. Experience with incorporating AI and/or Machine Learning into music