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) at ETH Zurich. We are looking for a Postdoctoral (equivalent to a non-tenured Assistant Professor) or PhD Researcher in Applied Macroeconomics and/or Political Economy. Project background The Chair's
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technologies, economics and policies either drive or constrain the growth of clean energy technologies. The PhD student or Postdoctoral researcher will use a combination of empirical research, statistical
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. They are qualification positions for junior researchers pursuing an academic career after the PhD degree. The positions are available immediately or upon availability of the candidates. The successful candidates will be
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at these institutes. Who are we looking for? A PhD in Business and Management, or related subjects with the experience to plan and manage your own studies. Knowledge of supply chain, business model and value theory, HR
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of advanced knowledge in statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics
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FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications The successful candidate will have: A PhD in an area such as ecological economics, feminist economics, sustainability science, natural
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comprising senior researchers, postdocs, and PhD students. Together, we aim to identify sustainable pathways for our energy future. The work will contribute to meeting emission reduction targets outlined in
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of advanced knowledge in statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics
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skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the team, you will deal with challenging questions related to artificial
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experience required: - PhD in Economics or Management Essential skills, knowledge and experience: - Knowledge on online mediaPhD in Economics or Management - Familiarity with recommendation systems - Strong