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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput
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of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The applicant is expected to have a strong computational focus on
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker assessment, and ambulatory behavioral assessments
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, physical function, mental and social wellbeing after initiating burosumab. Access local clinical data to determine the predictors for clinical events, laboratory and imaging findings after initiating
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tumor suppressor biology. Experience with modern technologies such as CRISPR/Cas9-based genome engineering, single-cell or spatial transcriptomics, or high-content imaging. Working knowledge
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/faculties/natural-sciences/our-research/research-groups/cognition-in-complex- environments/ and the inter-disciplinary Stirling Vision and Image Processing Special Interest Group http://vip.cs.stir.ac.uk
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laboratory experiments to support research efforts including flow cytometry, immunohistochemistry, multiplex imaging, and gene expression analysis. · Participate in grant writing and manuscript