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Field
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seminars, conferences and other relevant research projects (e.g. production of EAI’s journals or joint research reports) Requirements: PhD in Political Science or a closely related field (e.g., Public Policy
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control algorithms. Perform experimental testing, data analysis, and performance evaluation of power electronic systems. Develop simulation models using tools such as MATLAB/Simulink, PLECS, or PSCAD
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and artificial intelligence. Reporting to the Technical Lead of CardiacAI , the role will contribute to the development, validation and evaluation of predictive algorithms, clinical decision-support
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Researcher (R2) Positions PhD Positions Application Deadline 17 Jul 2026 - 23:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
scalable computational algorithms and translate the proposed methodology into practical applications. We are seeking applications from candidates with either a track record or proven potential in research in
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Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See
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UiO/Anders Lien 9th August 2026 Languages English English English Join Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in
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for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research presentation
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mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving