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-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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To create and contribute to the creation of knowledge by undertaking qualitative research and/or health economic evaluation within two impactful applied health research programmes: DEKODE – improving outcomes
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. You will conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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resources, and plan and progress work activities on multiple projects Desirable Interview Further Information Grade Clinical Academic Trainees Salary £52,656 - £73,992 Work arrangement Full-time Duration 30
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weather files and some experience with computer programming programs. Strong communication/interpersonal skills and an ability to work independently are essential. For further information please contact
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. This group uses state-of-the-art Earth observation data and advanced computer techniques to study the Polar regions. We specialise in using Synthetic Aperture Radar (SAR) and altimetry satellite data
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision