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are as important as high accuracy. Supervise student projects at BSc, MSc, and PhD level. Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
counter-example guided planning algorithms for mission and epistemic objectives. Integrate multi-modal agentic AI systems into an orchestration framework. Deliver software artefacts and demonstrators
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English. A strong background in graph theory and graph algorithms is necessary. For PhD position 1, we appreciate prior mathematical exposure to at least one of the following topics: random graphs
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 28 days ago
will develop computer vision, machine learning and control algorithms for a robot to perform packaging tasks. Human demonstrations will be used to generate data for learning. These data will encompass
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City University of New York, Advanced Science Research Center Program ID: CUNY-ASRC-PHYSICS [#31491, 31506] Program Title: Assistant Professor – PhD Program in Physics Program Type: Tenured/Tenure
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Procedure Please submit your application package via the following link: http://tiny.cc/lsy-phd-applications . In the application form, you will be asked to submit a package that includes the following
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interest in developing bioinformatics methods for sequence analysis in close collaboration with researchers in biology. Required qualifications: A Norwegian PhD degree in bioinformatics or other relevant
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time