275 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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services, and database systems to support computational pathology workflows Implement software solutions for large whole slide images datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS
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Job Description The Staff Scientific Computing Engineer advances data analysis projects by developing hardware/software solutions and providing technical leadership for critical scientific computing
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Job Description SJCRH The St. Jude Affiliate Program is seeking a motivated and forward-thinking faculty member to serve as the program medical director. The St. Jude Affiliate Program is a network
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Job Description The Research Program Coordinator is responsible for coordinating program management activities by performing tasks related to data tracking, analysis, and implementation of results
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Job Description The Program Coordinator - St. Jude Global Programs assists in designing, implementing, and overseeing projects and initiatives within and for the Department of Global Pediatric
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Job Description We are seeking a highly skilled and detail-oriented Compliance Program Administrator with a strong background in hospital billing compliance to join our Healthcare Compliance team
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Job Description Job Title: Programme Manager, Nature Awards Location: London - Hybrid working model Applications Deadline: 10th March About Springer Nature Springer Nature is one of the leading
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Faculty Scientists – Digestive Diseases Translational Program Salary Range: Assistant Professor: $110,000 - $139,000 per year; Associate Professor: $123,300 - $260,469 per year; Professor: $260,459
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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computational analysis, deep learning, and calcium imaging–based approaches. We work primarily with the model system C. elegans and apply both computational and experimental methods to uncover fundamental