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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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edge AI hardware/software. Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions. Build and test a
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of thousands of transports requests every day, ensuring timely and reliable delivery of wafers to the correct tools. Our research seeks to develop efficient and adaptive scheduling algorithms for AMHS systems
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seeks to develop efficient and adaptive scheduling algorithms for AMHS systems to significantly reduce transport delays, improve material flow, and enhance coordination between logistics and manufacturing
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. The successful candidate will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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review. You will possess master level quality, accuracy, speed and knowledge for your assigned specialist area and execute reflex testing algorithms. Work schedule: 100% FTE, Fixed Duration Appointment
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at the AI+Science Lab led by Prof. Anima Anandkumar at Caltech, a mission-driven multi-disciplinary environment creating cutting-edge AI methods and applying them to a wide range of scientific domains
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Adrenal Diseases) , and is scheduled to start in August 2026. The position is funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie (Grant Agreement
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. Brief Description of Duties: The Postdoctoral Associate will join the Principal Investigator Profs. Himanshu Gupta and CR Ramakrishnan in the Quantum Computing and Network Center of Stony Brook