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Field
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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publication record in predictive machine learning/analytics. Desirable Qualifications: Expertise in reinforcement learning and/or federated learning. Expertise in prescriptive analytics (mathematical
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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The Institute for Complex Social Dynamics (ICSD) and the Machine Learning Department at Carnegie Mellon University are seeking a talented and motivated postdoctoral researcher for a joint position
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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. Experience in parallel programming (MPI, GPU, etc.). Proficiency in biostatistical methods. Ability to work independently and in group settings. Ability to learn quickly and apply new analytic techniques. Job
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oncogenic signaling pathways with the goal of developing novel therapies for cancer treatment. Learns and utilizes new techniques. Conceptualizes and executes complex laboratory experiments across a variety
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of Medicine who are inventing and deploying advanced analytics and knowledge integration approaches. The goal of building this community is to make the Anschutz Medical Campus a leader in translating data