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after normal hours and travel as required. Preferred Qualifications: Master's degree in computer science, Certificate for Health Systems & Design and proven experience in/with: Authorship for peer
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learning and health data science research and a strong interdisciplinary research culture. This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working
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job-related duties as required. Required Qualifications: -Ph.D. in Agricultural Engineering, Computer Science, Data Science, Information Systems, or related field -Experience applying analytics
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting
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the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC
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. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National
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of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing
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of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing