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. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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horizontal convection, with a particular emphasis on their application to subsurface oceans of icy moons. The UKRI-funded FLF project aims to advance our understanding of fluid dynamics processes within gas
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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pipelines. Your primary focus (80% of your time) will be on leading spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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, statistics, mathematics, or a related field. Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience) to perform data analysis on next generation
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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online behaviour at scale, across multiple modes of communication (messages, images, video, memes and emojis) that shape participation and meaning in warfare. You will lead and manage a range of individual
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animal models. The work will include: Biochemical Analyses: Investigating molecular pathways and biomarkers. Cell Culture and Imaging: Utilizing cell and tissue imaging techniques to study mechanisms