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) gradient is a key component of global climate variability, yet climate models consistently fail to reproduce the historical gradient trend. This discrepancy affects climate sensitivity estimates and regional
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ambient noise and acoustic propagation, translating that understanding into new models, methods and software tools to support applications in maritime sensing, defence and national security. The two
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
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. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods. The research will
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Institute for Translational Medicine and Liver Disease | Strasbourg, Alsace | France | about 1 month ago
including sc/snRNA and spatial transcriptomics, patient-derived models, systems biology and AI platforms Opportunity to obtain a PhD within the U Strasbourg MD-PhD program Tenure track program at Inserm and U
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Model Development Support development and evaluation of learning-based control policies using reinforcement learning, imitation learning, and visuomotor learning approaches. Assist in model training
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• Possess a PhD degree in relevant field, with demonstrated experience in the following such as: • Experimental ballistics tests on rock / cementitious materials • Modelling of high-rate
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control, reproducible experiments, 3D model management, documentation). • Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual
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and co-speech gestures during naturalistic communication, and how age-related differences in hearing, attention and cognitive control shape comprehension under uncertainty. The post-holder will
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of Singapore (NUS). The selected candidate is expected to: • contribute to AI and software stack integration from architecture to vision task 1. Dataset, pre-trained model gathering, software sandbox and