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-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on Neuro-Symbolic Graph Transformation. The Department of Computing Science has been growing rapidly in recent
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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three scientific research departments, themselves organized into teams. The PhD will take place more specifically within the MAORE team, whose members use tools from combinatorial optimization, graph
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precedence graphs over time could also have several other applications in humanitarian logistics and crisis management For a position as a PhD Candidate, the goal is a completed doctoral education up
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graph Machine Learning and Graph Data Management At Section
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of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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preparation for analysis; use spreadsheets and databases to develop and maintain records and create reports — 10% Prepare and present summary narrative reports, PowerPoints, graphs, tables, charts, and