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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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with health/real grid data or machine learning is beneficial but not mandatory. We Offer One year funded of 3-year PhD position (SIF Doctoral Student Grant). Access to high-performance computing
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. Information about the Department can be obtained at http://www.dase.hku.hk/ . Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/364137/phd-position
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
by LA/P/0083/2020 and 1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 – LASEEB/ISR, financed by national funds through FCT/MCTES Workplan: The scholarship holder will acquire electrophysiological data (EEG
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of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is huge amounts
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the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the
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of July : https://www.iimcb.gov.pl/en/career-education/phd-education Where to apply Website https://warsaw4phd.eu/en/admissions/ Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build