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of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteGhent
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. The Department of Economic History is a research-intensive department that employs about 80 people: researchers, teachers, technical/administrative staff, and Ph.D. candidates. The department has a large PhD
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make use of modern Swedish registers, including health and population registers covering the period 1968–2023, in combination with high-resolution geospatial data. The PhD student will contribute to both
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infrastructure, and participating in teaching and student supervision. Your profile Applicants must hold a PhD in Analytical Chemistry, Environmental Chemistry, Pharmaceutical Sciences or a related field
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. Strong analytical and problem solving skills. Advanced expertise in business and management computer applications and databases. Subject matter expertise for area(s) of responsibility. Ability to multi
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international academic journals. You can demonstrate the potential to develop an independent research profile. Holding a PhD or being close to completing one (i.e., the PhD must be completed before the starting
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a versatile and technically skilled Associate Scientist to support data analytics, research infrastructure, and collaborative scientific development. This role focuses on analyzing complex behavioral
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Professional Studies Analytics, located on-ground in Boston, MA. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
trauma research at scale. emphasizing scientific leadership in trauma-related clinical research. This position centers on analytic strategy, data management, study design, team supervision, interpretation
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/experience for the role You will bring: A PhD in a relevant field and a developing research record Proven ability in data analytics, machine learning, and handling large datasets Experience in data management