3,840 phd-machine-learning PhD positions at Università degli Studi di Napoli "Federico II"

PhD Position Machine Learning-driven Modeling of Metallic Microstructures

to the macroscopic level. As a PhD, you will develop a physics-informed machine learning framework to address those micromechanics modelling bottlenecks and enable high-throughput investigation of the process

PhD position on Mathematical Statistics or Machine Learning Theory

Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s

PhD Student in Machine learning for radiological precision medicine

group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration

PhD Studentship: Space Trajectory Classification using Machine Learning

Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a

PhD Studentship: Machine Learning Models for Subgrid Scales in Turbulent Reacting Flows

Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural

PhD Position: Advancing Computational Mechanics through Machine Learning

Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex

PhD position on Mathematical Statistics and Machine Learning Theory

Vacancies PhD position on Mathematical Statistics and Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s

PhD positions in physics-enhanced machine learning (m/f/d)

. You will be given the opportunity to pursue a PhD during your time here. You will be collaborating with the research group "Physics-Enhanced Machine Learning" of Prof. Dr. Felix Dietrich at TUM. We

PhD Candidate in Hybrid Machine Learning

31st July 2024 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in Hybrid Machine Learning Apply for this job See

PhD Position in Causal Machine Learning

University of Technology (TU/e)CountryNetherlandsCityEindhovenPostal Code5612 APStreetDe Rondom 70Geofield Where to apply Website https://www.academictransfer.com/en/342216/phd-position-in-causal-machine-learn