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. • Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. • Optimize protocols and improve methods
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gastrointestinal cancer, with potential applications in immune profiling, response prediction, and therapy optimization. You will lead and manage a dynamic, multidisciplinary research team, collaborate closely with
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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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and differentiation. This is an excellent opportunity for an individual seeking immersive experience in biomedical research and lab operations before pursuing a PhD or MD. The technologist will take
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Summary The Centre for Lung Health data analyst is a full-time integrated member of a community of clinicians, researchers, coordinators, technicians, and trainees, who optimizes collection, use, and
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candidates with expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In
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data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia
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reimbursement, ambient clinical documentation, revenue cycle optimization, contact center and shared services automation), developing foundational structures to enable scalability and broad impact of the models
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existing methods, our technique aims to use laser energies that are safe for biological tissues, ensuring both efficacy and safety. To achieve these goals, two PhD projects have been designed. One of them
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, risks and benefits of non-native trees in forestry, social perceptions of non-native species in forests, economic optimization of forest biosecurity, and the global impacts of invasions on global forest