487 machine learning "French National Institute for Agriculture, Food, and Environment (INRAE), Jouy en Josas" PhD scholarships

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 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: Machine Learning for Sustainable Chemicals and Processes

, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and

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 Position in Machine Learning and Computer Vision

Positions: We have an opening for a PhD position in the areas of machine learning and computer vision. The position is supported financially by a SNSF project, whose aim is to build controllable

PhD Position in Causal Machine Learning

Probabilistic Circuits. Causal Representation Learning. Causal Explanations. Causality and Large Language Models. Counterfactual learning. Job requirements Master’s degree in Computer Science, Mathematics, or a

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 Studentship: Machine Learning for Spatial Transcriptomics Analysis in Human Cancers: Tackling Limited Data Challenges

machine-learning techniques in ST studies. Our approach introduces two innovations: developing sparse Bayesian learning algorithms for efficient small dataset analysis and designing a simulator for