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heterogeneous data types in an existing molecular visualization software. You will develop a practical and immediately useful application that enables integrative modelling of a macromolecular structure from
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models. The applicant will join a friendly
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Biobank’s data to calculate a frailty score for each participant based on 49 previously validated variables. They will then use a hazard regression model to understand factors that contribute to the risk of
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are working to set up a new,human challenge model ofStaphylococcus aureus skin infection. This model will be used to study the early interactions between the human immune system and invading bacteria. From
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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of agent-based models (e.g. using techniques from game theoretic model checking/rational synthesis) Candidates will be expected to have a PhD in a related area and should indicate their special area(s) of
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heterogeneous data types in an existing molecular visualization software. You will develop a practical and immediately useful application that enables integrative modelling of a macromolecular structure from
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g