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posts are designed for career development, and the successful candidate will undertake a PhD in parallel with their teaching and research support.You will be part of a large, vibrant, highly collaborative
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improve system coordination and effectiveness for Iowa families. (https://i2d2.iastate.edu/). We are a motivated, action-oriented team that values communication and collaboration. We operate a blend of
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, Statistics I, Engineering Statistics. Preferred Qualifications Demonstrated excellence in teaching and/or industrial experience involving applied statistics. Doctoral degree in Statistics. Special Conditions
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and statistical analyses. Develop and implement new computational and statistical methods. Write, test, and maintain code in Python, R, SQL, or equivalent, with a willingness to learn and adapt
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Researcher (R1) Positions PhD Positions Application Deadline 3 May 2026 - 23:59 (Europe/Zagreb) Country Croatia Type of Contract Temporary Job Status Full-time Hours Per Week 8 Offer Starting Date 3 Apr 2026
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have to offer You enjoy supervising groups of (international) students in the second/third year of their psychology studies. You like teaching academic skills such as data analysis (statistics
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and draft research papers. Collaborate with other EOP researchers and collaborators. MINIMUM REQUIREMENTS Education & Experience PhD in Education, Sociology, Statistics, or a related field. Experience
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23 Mar 2026 Job Information Organisation/Company Lisaqua Research Field Biological sciences » Zoology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, review and report information for specific research projects. -Develop and perform statistical analysis of fMRI data and assist other researchers with fMRI analyses. -Oversee quality control analyses
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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date