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International Court of Justice. From this shared starting point, project team members will engage with the legal, epistemic, institutional and political constraints on implementing future-oriented, temporally
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to “stress test” the principles of the approach built in the first phase of the project by directly confronting several key puzzles for the methodology. These puzzles include challenges of defining refugeehood
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. Phase 2 will seek to “stress test” the principles of the approach built in the first phase of the project by directly confronting several key puzzles for the methodology. These puzzles include challenges
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operationalized seasonal forecasts and test their skill as early warning systems, (iii) developing novel impact-focused attribution frameworks that integrates climatic and non-climatic drivers across sectors
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will also reflect on the normative and epistemic assumptions underlying technology development. You will collaborate in an interdisciplinary team with philosophers, media and literary scholars, and data
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mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized seasonal forecasts and test their skill as early warning systems, (iii) developing novel impact
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include: Intrinsic uncertainty estimation in MLFFs (epistemic & aleatoric uncertainty) Negative log-likelihood and calibration methods for force-field training Feature-space and orbit-based analysis
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environmental sensors, students examine the material, epistemic, and ethical dimensions of environmental information systems. Estimate of the course enrolment: 35 Estimate of TA Support:None anticipated. Estimate
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of artificial intelligence in judicial decision making. We welcome proposals for projects that examine the potential of emerging technologies to enhance legal practice, legal education and public services, as
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. Research project GRASP. The candidate will carry out his/her doctoral dissertation within the framework of the research project GRASP (“Gradability across Science and Epistemic Practices”), which was funded