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candidates are encouraged to apply to Job Opening ID 535547 at careers.fiu.edu and attach cover letter and curriculum vitae. Candidates will be requested to provide names and contact information for at least
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(amostafaei@illinoistech.edu) with the following: – Cover letter detailing your research experience and interests. – A detailed CV that includes a list of publications. – Contact information for at least three
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periods of time, repetitive motion related to computer work. Shift Monday-Friday 8:00am-5:00pm, weekends or evenings may be required by project work. This position is eligible for complete remote work. Job
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of references with contact information. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments
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Applications in English should include: Curriculum Vitae Cover letter Copies of diplomas List of publications Summary of recent research and projects Sketch of planned research (2 pages each
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, and testing of detector components using the UNH test stand. Analyze test beam and cosmic ray data to characterize detector response. Collaborate with hardware engineers and software developers
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, understanding of population, community, and organismal ecology. Work with "big data" analysis, experience with wetlands and fisheries data specific to the Texas Coast, experience working with non-profits and
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present findings at scientific and stakeholder events. Seek new funding to expand research scope and impact. Guide students in data analysis, troubleshooting, and writing. Qualifications: Ph.D. degree in
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://www.princeton.edu/acad-positions/position/38901 and include a cover letter, CV (including a list of publications), research statement (a discussion of past research, expertise, and research interests), and contact
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at mfw5615@psu.edu Application Process Applicants must submit (1) cover letter documenting qualifications for the position, (2) current curriculum vitae, and (3) names and contact information of three academic