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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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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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. 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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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
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create a collaborative and engaged user community. A special focus lies on the operation of the multiphoton and FLIM microscopy systems and establish intravital imaging pipeline. Main Duties and
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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
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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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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
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Please apply online and attach your resume (including a list of two referees), and a separate cover letter that outlines how you meet the selection criteria below: Essential Selection Criteria: PhD in
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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