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of an ageing population. The postholder will support the programme through the application of a range of techniques and/or to collect and analyse data that enable the project to progress. This position involves
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have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively
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academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively on projects with a wide range of stakeholders
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within the research programme of the Elementary Particle Physics Group. To work on detector
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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supportive team culture, and supporting the translation of programme outputs in collaboration with preclinical colleagues. The post holder will also communicate complex and conceptual ideas to diverse
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. You will demonstrate strong technical problem-solving skills, the ability to plan and manage substantial engineering projects to agreed milestones, and confidence in working collaboratively with
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. The successful candidate will join the team of Dr. Gamze Gursoy, working on topics related to computational biology and genomics. Role holders will be expected to plan and manage their own research and
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real world health data assets, including data on wider determinants of health e.g. climate. As well as analyse data following pre-specified analysis plan/s and/or approved protocols. In this position you