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Deutsches Zentrum für Luft - und Raumfahrt (DLR) | Koln, Nordrhein Westfalen | Germany | about 2 months ago
4 Apr 2024 Job Information Organisation/Company Deutsches Zentrum für Luft - und Raumfahrt (DLR) Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 7 Aug 2024 - 00:00 (UTC) Type of Contract To be...
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and Mathematical Sciences is seeking a Research Fellow to contribute to a project focused on large random matrices and machine learning. Key Responsibilities: Conducting research in one or more of the
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, methodology, and machine learning, apply to join us at the School of Mathematics and Statistics, University of Wollongong. You will be working with Professor Sumeetpal Singh within the specific initiative
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traveltime tomography + full waveform inversion) technologies to image the detailed near-surface subsurface structures from tens of meters to a few kilometers. In addition, machine learning techniques will be
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Job Description The postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample
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science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that
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degree in computer science, software engineering, mathematics, or a related field. Strong background in multimodal learning, natural language processing, domain adaptation, and knowledge graph
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experience of working with large databases, particularly those that contain geospatial data; experience of applying technical skills to solve real-world problems. Strong background in machine learning, data
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engineering, computer science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral
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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine