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Field
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focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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intelligence, epidemiology, health economics, molecular diagnostics, and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from a
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sciences and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from hospitals, government agencies and healthcare organizations
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‘Integrated Structural Dynamics’ led by Dr. Sigrid Milles. The successful candidate will study the conformational dynamics of intrinsically disordered proteins involved in clathrin mediated endocytosis
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the structure and function of chromatin-associated complexes involved in gene repression. About Us: We are a dynamic and international team working within the South Australian immunoGENomics Cancer Institute
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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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blade aerodynamics, gust interactions, and fluid-structure interactions. The research focuses on unfolding the origin and development of unsteady flow separation and vortex formation. The lab has built a