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PhD position “Climate Finance: Moral Responsibilities of Financial Institutions for Decarbonization”
of Financial Institutions for Decarbonization”. Project description The financial sector plays a crucial role in directing investments to sustainable causes. So far, sustainable investment has been largely a
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: Moral Responsibilities of Financial Institutions for Decarbonization”. Project description The financial sector plays a crucial role in directing investments to sustainable causes. So far, sustainable
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PhD position “Climate Finance: Moral Responsibilities of Financial Institutions for Decarbonization”
PhD position “Climate Finance: Moral Responsibilities of Financial Institutions for Decarbonization” (V25.0070) « Back to the overview Job description Since its foundation in 1614, the University
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Organisation Job description The position is within the NWO-funded project “Collateral damage: The financial economics of slavery”. This project aims to understand an underexposed aspect of slavery
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PhD position Financial Economics of Slavery (1.0 FTE) (V25.0022) « Back to the overview Job description The position is within the NWO-funded project “Collateral damage: The financial economics of
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-series data about canopy and tuber yield for a diversity panel of potato cultivars and (b) model the genotype-specific growth parameters as functions of molecular marker profiles. This research is on
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Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
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standard rational expectations on the macroeconomy. How do public expectations react to monetary or fiscal policy changes or announcements? What are the implications of these expectations for policy
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. Microfinance Institutions (MFIs) play a crucial role in financial inclusion by providing essential financial services to underserved communities. However, MFIs’ ability to balance financial sustainability with
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quantitative discipline such as (Quantitative) Marketing, Econometrics, (Quantitative) Psychology, Data Science or related fields. Is skilled in working with time series, panel and/or unstructured data. Has