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nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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battery technology research: https://www.youtube.com/watch?v=laPjbVujBKM&t=5s Electric vehicles: https://www.vttresearch.com/en/ourservices/electric-vehicles Batteries: https://www.vttresearch.com/en
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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of three referees to: https://www.wenjuan.com/s/MFzQjeO/ For more information, please visit http://sist.shanghaitech.edu.cn/ or contact sist@shanghaitech.edu.cn Institute of Mathematical Sciences (IMS
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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Biological Engineering Posting Link: https://www.ubjobs.buffalo.edu/postings/61152 Job Type: Full-Time Posting Detail Information Position Summary The Shi group is seeking motivated Postdoctoral Associateswith
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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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includes implementing and testing machine learning algorithms on quantum control tasks such as state preparation and qubit reset. You will gain hands-on experience with machine learning techniques and their