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Field
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research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data. Develop and integrate methods for variant filtering, prioritization, and rare-variant association
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write your thesis in the context of the research project ‘Tracing the Realities of Algorithmic Warfare: From Innovation to Deployment and its Impact on Civilian Harm,’ funded by the Research Foundation
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy-efficient. Project data Title: UDC-Inditex Chair of Artificial Intelligence
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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should operate in an AI context. The AI revolution has sparked ongoing debates that highlight the multifaceted role of AI and algorithms in shaping our world—in ways that engage deeply with law. Fully
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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
is on understanding and improving the performance of classic learning algorithms, in particular Boosting and Bagging, both in terms of speed and generalization capabilities. The project also allows
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modelling, enabling more cost-efficient training algorithms. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A four-year scholarship package
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(entities) given the rules and the rules given the molecules. The aim of this project is to develop a theory and accompanying algorithms to decide if an abstract system can be instantiated by a concrete
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward