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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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profiling (using 10x Genomics) Excellent communication skills and a passion for learning new assays and analysis techniques are essential. The position is based at Guy's Hospital, giving you access to state
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high-dimensional flow cytometry (using CyTek Aurora) and single-cell transcriptional profiling (using 10x Genomics) Excellent communication skills and a passion for learning new assays and analysis
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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encourage you to apply; enthusiasm and the ability to learn quickly are highly valued in our team. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience