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USNH Employees should apply within Workday through the Jobs Hub app The University of New Hampshire is seeking an Hourly Research Assistant to help staff with analysis of MMS data. Duties
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be based at the EPRG at Surrey and will need to attend meetings and roundtables in London and possibly Exeter. We will cover your travel expenses. You will be working on the project for 1 day a week
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be based at the EPRG at Surrey and will need to attend meetings and roundtables in London and possibly Exeter. We will cover your travel expenses. You will be working on the project for 1 day a week
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the supervision of Mayssun El-Attar Vilalta, Economics Faculty Lecturer, the Research Assistant will work on research related to computation and data analysis in economics. This work will take the form of data
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
are experience with Landsat-8 satellite data, bathymetry and other remote sensing data. Scope of responsibility: Integrate existing acoustic data collected by NOAA and CCOM/JHC, derived terrain variables and
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: Please send your CV and cover letter to: enkhjin@ecl.mn Where to apply E-mail enkhjin@ecl.mn Requirements Research FieldOtherEducation LevelPhD or equivalent Additional Information Work Location(s) Number
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Posting Description PREDOCTORAL RESEARCHER,Economics (2 positions), to join the research team of Professor Amy Finkelstein. Responsibilities include working with data sets, cleaning and running
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biochemistry, molecular biology, gene therapy, or drug delivery. • Collaborate with the research team to develop and secure competitive grant funding. Applicants should submit the following: 1. Cover letter
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5 Sep 2025 Job Information Organisation/Company Brno University of Technology, Central European Institute of Technology Research Field Chemistry Researcher Profile Recognised Researcher (R2
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient