765 phd-machine-learning PhD positions at Università degli Studi di Napoli "Federico II" in Netherlands

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 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 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

PhD in Probabilistic Machine Learning

, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully

PhD in Probabilistic Machine Learning

motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together

PhD Position Enhancing Plant Resilience through Biologically-Inspired Machine Learning

Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning! We are seeking a highly motivated PhD candidate

PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins

to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust

PhD Machine learning meets choice models (1.0 FTE)

well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice