Aktuelle Jobs im Zusammenhang mit Quantitative Researcher in Circular Economy - Zürich, Zürich - Karlstad University
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PhD in Quantitative Innovation Analysis
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Innovation Economics PhD Researcher
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PhD Student in Innovation Economics
Vor 4 Tagen
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Senior Research Assistant
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Quantitative Researcher
Vor 2 Tagen
Zürich, Zürich, Schweiz Public Policy Group VollzeitYour task will be to support the project in a variety of ways. This includes tasks such as data cleaning, data visualization, and preliminary analyses, as well as potentially supporting the team in smaller tasks like text annotation, literature searches, and more.ProfileWe are looking for a highly motivated individual who is currently enrolled in a social or...
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Zürich, Zürich, Schweiz Karlstad University VollzeitResearcher – Urban-scale Building Life-cycle Carbon Calculator ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice. Project background The Circular Future Cities module (CFC) of FCL Global aims to develop a systems approach for informing the design of circular...
Quantitative Researcher in Circular Economy
vor 1 Woche
Karlstad University is committed to fostering an inclusive culture that values diversity and promotes equality of opportunity.
Research OpportunitiesWe are seeking a highly motivated PhD candidate to join our dynamic research team as a Quantitative Researcher in Circular Economy. This role offers a unique opportunity to contribute to groundbreaking research in the field of circular economy and digital transformation.
Key Responsibilities- Design and implement novel empirical methods to uncover new insights from comprehensive datasets.
- Develop and apply quantitative models to explore policy measures driving innovation in different economic sectors.
This position requires excellent knowledge of statistical software such as STATA or R, with additional experience in programming languages like Python or Matlab being highly desirable.
Requirements- A Master's degree in economics, data science, computer science, or a related field.
- A strong desire to conduct high-quality research.
- A clear interest in applying quantitative methods, including econometrics, machine learning, deep learning, and natural language processing.
The successful candidate will enjoy a dynamic and collaborative research environment with internationally competitive working conditions.
Why Choose Us- An exciting opportunity to pursue a PhD at a globally renowned institution.
- A chance to broaden and deepen your methodological expertise in quantitative research.