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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
), the objective of this internship is to improve the performance of full waveform inversion (FWI) algorithms for seismic subsurface imaging. This work lies at the interface between Earth sciences, mathematics, and
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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, or algorithms for signal processing and machine learning in the broader domain of Astrophysics and/or Earth Observation. Candidates holding a PhD in Computer Science, Astrophysics, or a closely related field must
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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and intensive longitudinal data? The Department of Medical and Clinical Psychology (MCP) at Tilburg University is seeking (soon-to-defend) two PhD graduates or early-stage postdoctoral researchers
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Intelligent Systems Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Croatia Application Deadline 12 Dec 2025 - 23:59 (Europe/Zagreb) Type
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of the underlying databases and annotation sources to reflect the latest releases from UniProtKB, InterPro, DisProt, and others for up-to-date annotation coverage. Where to apply Website https://ibb.edu.pl/en/phd
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catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning