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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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-proof. You will contribute to the CYCLIC project : Cyclic Structures in Programs and Proofs , a collaboration among five Dutch universities, uniting experts in cyclic structures, coinduction, program
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.); computational skills to analyse social media data (e.g., with Natural Language Processing, LLMs), and/or a strong motivation to learn these skills; excellent oral and written command of Dutch and English
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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of future urban living environments. This broadened futures approach will expand evidence-based spatial modelling through the creation of experiences that connect possible alternative futures to the present
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept