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to develop teaching expertise and gain experience will be offered. The 4th year will include 50% teaching activities. Project Description The Institute of Security and Global Affairs (ISGA) seeks to appoint a
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this project we will investigate and develop innovative statistical techniques in pharmacometrics. We will focus on improved modeling procedures for including patient-specific covariates in models, as
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relevant teaching activities. Selection Criteria The successful applicant should be a motivated university graduate who is a top performer among his/her peers and has an excellent education and/or research
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, Political Science, and Psychology. The faculty has approximately 7000 students and 1000 staff members. Within the institutes, not only education is provided but also groundbreaking research is conducted
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in scholarly work and in the eyes of society. We encourage candidates to develop their own focus within the project. However, we would be particularly interested in receiving applications from students
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managed by the academic coordinator. Key responsibilities: Research in the area of law and digital technologies; Prepare a final PhD dissertation; Disseminating academic results in leading international and
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▫ Analyzing data ▫ Writing scientific articles ▫ Contributing to teaching within the Methodology and Statistics unit Project description The scientific record is a continuously updating source of knowledge, and
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members feel valued and respected, and are able to develop to their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High-quality education and
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Psychology. The faculty has approximately 7000 students and 1000 staff members. Within the institutes, not only education is provided but also groundbreaking research is conducted that pushes the boundaries
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to teaching within the Methodology and Statistics unit Project description The scientific record is a continuously updating source of knowledge, and it is often assumed that scientific fields have self