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Field
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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of modeling higher-order relational structures such as hypergraphs and simplicial complexes, which are prevalent in complex biological systems like protein assemblies, signaling pathways, and metabolic networks
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emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios
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and geospatial datasets. The All-Island Climate and Biodiversity Research Network (AICBRN) brings together researchers from a wide range of disciplines across the island of Ireland to develop a large
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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between Duke University and the National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster, which is a network of national specialty disease centres
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responsibilities include working with communities to understand complexity, collecting and analysing data, and reporting to a range of audiences. About the person: Essential Criteria: An upper second class honours