420 web-programmer-developer-"https:"-"https:" Postdoctoral positions in United Kingdom
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, particularly by providing expert advice in crystallography in our existing projects and by leading the development of new, automated methods for the discovery and characterisation of crystalline materials using
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focuses on developing novel, more disease-representative models of brain tumours that recapitulate how tumours behave in vivo, how they respond to treatments, and in their inter- and intratumoral
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at Ludwig Institute for Cancer Research, part of Nuffield Department of Medicine. The lab focuses on developing novel, more disease-representative models of brain tumours that recapitulate how tumours behave
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We are looking for a highly motivated postdoctoral researcher to join the Dev Group at the University of Cambridge Early Cancer Institute. We are focused on developing sensitive, specific and
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second goal is to develop methods that handle the increasing uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: Developing
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team