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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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for applying for the position Complete CV (education, work and teaching experience and overview of any scientific publications) Copy of diploma for both bachelor and master education and relevant certificates
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-mail or hard copy applications will not be accepted. Kindly note that all documents need to have reached the Doctoral Administration by the deadline stated in this announcement in order to be considered
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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and ability to adapt to a dynamic and interdisciplinary academic setting Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in
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this announcement. E-mail or hard copy applications will not be accepted. Kindly note that all documents need to have reached the Doctoral Administration by the deadline stated in this announcement in order to be
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for applying for the position Complete CV (education, work and teaching experience and overview of any scientific publications) Copy of diploma for both bachelor and master education and relevant certificates
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work. A copy of your CV. A list of publications (if applicable). Include a short description of your contribution in multi-authored publications. Copies of degree certificates and transcripts of academic