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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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for fast tune-up Implementation and benchmarking of quantum algorithms Qualifications We are seeking candidates with: A PhD in Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or a
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is launching a new strategic plan in 2024-2025. For more information, visit https://www.kennesaw.edu/ . Location Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our
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-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members
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Researcher (R2) Positions PhD Positions Application Deadline 26 Jan 2026 - 23:59 (Europe/Athens) Country Greece Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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at the Chinese Academy of Sciences (ITP-CAS) (https://english.itp.cas.cn ) is calling for application for a few postdoctoral fellow positions in 2026. Research areas include but not limited to: 1) Theoretical
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major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 25 days ago
, computer science or a related field, with at least ten (10) years of post-MSc research experience. • A PhD in mathematics, statistics, computer science or a relevant field, with at least five (5) years of post-PhD