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, considering algorithmic challenges such as multiple objectives, the robustness of designs and the transparency of the design recommendation process. The position is offered in the context of the Mobility
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research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is
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ThermoCas9 offers unique advantages, its current activity is lower than that of widely used nucleases such as SpCas9. Recent work at WUR has established robust platforms for protein engineering, directed
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assessed by means of a high-fidelity end-to-end simulator. The current design of the NGGM DFAOCS could benefit from the latest advances in control theory and the use of a robust control framework in which
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research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
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datasets and use statistical software such as Stata, R, or Python to produce robust results. Design appropriate causal strategies for evaluating policies or social programs. Translate theoretical and policy
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to imagine novel task configurations and learn robust manipulation policies from just a few real demonstrations. You will work at the intersection of 3D computer vision, physical simulation, and robot learning
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pipelines, multi-modal knowledge graphs, and training-ready datasets with robust provenance and validation. Track B — GPU-Accelerated Scientific Foundation Models You will design and train large-scale multi
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security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent
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, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network