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Field
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, PhD, FAIMBE is the director of IGS and is internationally recognized for her work developing predictive models in cancer using spatial multiomics and mathematical tools. Her research incorporates
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context of such use cases
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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, and the ability to thrive in a highly cross-functional environment. They will primarily be responsible for the development of algorithms and pipelines to analyze vast amounts of electronic health
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join the Fertig Lab. Elana Fertig, PhD, FAIMBE is the director of IGS and is internationally recognized for her work developing predictive models in cancer using spatial multiomics and mathematical
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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have earned a PhD degree by the time of appointment, or shortly thereafter. Alternatively, applicants must have a Master’s degree with at least five (5) years of teaching experience. Relevant fields
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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background ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team of theoretical researchers in the Quantum Information and Quantum