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-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits for practical implementations. Causal and information-theoretic
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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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Positions PhD Positions Application Deadline 22 Sep 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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» Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
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Annie Spratt 18th October 2026 Languages English Norsk Bokmål English English PhD Scholarship - AI for Forest Robotics Apply for this job See advertisement Key Information The PhD fellowship aims
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of the position Simulate MRI data and model disturbances arising from various physical sources Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present
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developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography