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practical knowledge and skills in cutting-edge information technologies. Focusing on innovation and experiential learning, we prepare students at all levels, including PhD, Master, and undergraduate
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Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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State University of New York University at Albany | Albany, New York | United States | about 17 hours ago
architectures, computer networks, operating systems, and software engineering Research, including supervision of PhD students and postdoctoral scholars Service to the CS department, CNSE, and UAlbany
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Luleå University of Technology seeks a driven and committed PhD student with a focus on the effects of climate change and different adaptation measures on urban streams. Take the opportunity to join one
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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, electrical engineering or simila,r with an affection for machine learning; You are an independent and original thinker with a creative mindset; You are a fast thinker with excellent analytical and
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computer science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign
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://www.academictransfer.com/en/jobs/357773/phd-in-computer-architecture-fo… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in Computer Engineering, Electrical Engineering, Embedded
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experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices