1,298 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at Nature Careers
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be
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, but are not limited to: all major branches of engineering, life sciences, mathematics, chemistry, physics, and inter-disciplinary fields. For more information, please visit: https://en.westlake.edu.cn
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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Job description: The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that
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, which deepens its interdisciplinary reach into the Greater Bay Area and beyond. For more information about HKUST, please visit https://hkust.edu.hk. The School of Medicine HKUST is embarking on a landmark
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, the College fosters a collaborative academic community grounded in immersive experiential learning and success of students and trainees. Supported by seven research core facilities, comprehensive advising
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of Dr. Andrew Lane (https://lanelab.dana-farber.org/), within the Hematologic Neoplasia Division of the Department of Medical Oncology at Dana-Farber Cancer Institute. Located in Boston and the
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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of Medicine at Sahlgrenska Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages https