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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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-breaking discoveries to a life-changing career, discover your possible at the NRC. The role We are looking for an AI/ML core algorithms researcher who can develop foundational machine learning algorithms
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in algorithmic game theory and online learning the opportunity to work with Prof. Celli, developing key skills and gaining access to the research networks of the BIDSA center and the Department
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the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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of this brain cancer, as well as the evolution of the tumor. This part of the project involves designing, developping, and running machine learning algorithms and approaches to exploit vectors of RNA modification
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research will focus on developing Bayesian Optimization of Experimental Design (BOED) algorithms. These algorithms aim to cost-effectively accelerate reliability tests for TM-GSES components, maximizing
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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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property somewhat specific to nuclear systems amongst all many-body quantum systems. The project involves developing quantum algorithms for implementation on near-term fault-tolerant quantum computers